76,945 Data Architect Jobs in Chandragiri

As an Azure/Snowflake Data Architect, you will be responsible for designing and implementing end-to-end data solutions on the Microsoft Azure platform. Your expertise in SQL Server, SSIS, Azure Data Factory (ADF), and Azure Synapse Analytics will be crucial in architecting scalable, secure, and high-performance data pipelines for enterprise-level environments. **Key Responsibilities:** - Design, develop, and implement data architecture solutions using Azure Data Factory, Azure Synapse, and SQL Server. - Define and manage data integration, ETL/ELT frameworks, and data modeling strategies. - Architect and optimize data pipelines for performance, scalability, and reliability from multiple data sources. - Collaborate with business stakeholders, BI developers, and data engineers to align data solutions with business goals. - Oversee data migration and modernization from on-premises systems to Azure Cloud. - Implement data governance, security, and compliance best practices for cloud data environments. - Guide and mentor technical teams on best practices in Azure data services, performance tuning, and pipeline orchestration. - Stay updated with the latest Azure and data engineering advancements to recommend process improvements. **Technical Skills Required:** - Advanced experience in Azure Data Factory (ADF) for pipeline design, mapping data flows, and orchestration. - Strong knowledge of distributed querying, data warehousing, and performance optimization in Azure Synapse Analytics. - Deep experience in SQL Server (T-SQL) for writing complex queries, stored procedures, and query optimization. - Experience in designing and maintaining ETL workflows using SSIS (SQL Server Integration Services). - Understanding of data architecture principles, data modeling, and data lakehouse patterns. - Familiarity with Azure Storage (Blob, Data Lake), Azure DevOps CI/CD pipelines, Power BI integration, and optional skills in Azure Databricks, Python, or Scala for data transformations. **Soft Skills:** - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management abilities. - Proven experience in leading data projects and technical teams. - Ability to work effectively in agile and fast-paced environments. **Educational Qualifications:** - Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or related field. - Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert certification preferred. Please note that the above job description is based on the provided details without any additional information about the company.,

As a Cloud Data Architect at our company, you will be responsible for designing, implementing, and managing robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP). Your expertise will be crucial in leveraging services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. Additionally, experience in designing cloud architectures on Oracle Cloud is considered a plus. Key Responsibilities: - Develop and maintain conceptual, logical, and physical data models to support various business needs. - Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop. - Establish and enforce data governance policies, including data quality, security, compliance, and metadata management. - Build and optimize data pipelines for efficient data ingestion, transformation, and loading. - Monitor and tune data systems to ensure high performance and availability. - Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance. - Stay current with the latest technologies and trends in data architecture and cloud computing. Qualifications: - In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. - Expertise in data modeling techniques and best practices. - Hands-on experience with Spark and Hadoop. - Proven ability to design scalable, reliable, and cost-effective cloud architectures. - Understanding of data quality, security, compliance, and metadata management. - Proficiency in SQL, Python, and DBT (Data Build Tool). - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. - A Bachelor's degree in Computer Science, Computer Engineering, Data or related field, or equivalent work experience required. - GCP Professional Data Engineer or Cloud Architect certification is a plus. Please note that this is a full-time position and the work location is in person.,

As an AWS Cloud Data Architect, you will play a crucial role in the Data Products Solutions Architecture Team. Your primary responsibility will be to design and implement scalable analytical data solutions that are in line with the strategic objectives of the organization. Key Responsibilities: - Represent the data product solutions architecture team in various forums, providing expert advice on data product solutions. - Collaborate with cross-functional teams to ensure that data product solutions meet business requirements and facilitate data-driven decision-making. - Act as a subject matter expert in areas like complex large-scale migration with platform and system differences. - Contribute to the data engineering community and promote firmwide data practices. - Engage in hands-on coding and design to implement production solutions. - Optimize system performance by addressing inefficiencies effectively. Qualifications Required: - 10+ years of experience with at least 5 years in a Data product solution Architect or similar leadership role, overseeing technologists in managing, anticipating, and resolving complex technical tasks. - Hands-on experience in system design, application development, and ensuring operational stability. - Expertise in Architecture disciplines and proficiency in programming languages. - Deep understanding of data architecture, integration, cloud data services, best practices for large scale migration, etc. - Practical experience with AWS big data technologies and various data engineering disciplines. - Advanced experience in one or more data engineering disciplines such as streaming, ELT/ELT, event processing. - Proficiency in SQL and familiarity with data warehousing solutions using Teradata or similar cloud-native relational databases like Snowflake, Postgres. - Strong problem-solving abilities, along with excellent communication and interpersonal skills. - Capability to assess and recommend technologies for the future state architecture.,

As a Snowflake Data Architect at Aezion, Inc., your role will involve designing and implementing scalable data pipelines, integrating diverse data sources, and building a robust data warehouse to support business intelligence and analytics initiatives. Your key responsibilities will include: - Developing and maintaining ETL/ELT pipelines using Airbyte and Airflow. - Extracting data from multiple sources such as APIs, direct database connections, and flat files. - Ensuring data quality, consistency, and reliability across all ingestion processes. - Designing and implementing Kimball-style dimensional models in Snowflake. - Building and optimizing fact tables and dimension tables to support analytical workloads. - Collaborating with business teams to define and maintain the BUS Matrix for subject areas. - Using DBT to develop modular, testable, and version-controlled transformations. - Implementing data quality checks and documentation within DBT workflows. - Working closely with business stakeholders to understand requirements and translate them into technical solutions. - Ensuring compliance with data governance, security, and privacy standards. To be successful in this role, you will need the following skills and qualifications: - Strong proficiency in Snowflake architecture and performance tuning. - Hands-on experience with DBT, Airbyte, and Airflow. - Solid understanding of Kimball methodology for data warehousing. - Advanced SQL skills and familiarity with Python for ETL scripting. - Experience integrating data from APIs and relational databases. - Excellent communication and collaboration skills. - Ability to work in an agile environment and manage multiple priorities. Join Aezion, Inc. as a Snowflake Data Architect and be part of a leading custom software provider committed to transforming clients into lifelong partners through result-driven work.,

Our company is searching for a meticulous and experienced data architect to join our talented team. Your central responsibility as the data architect will be to develop, optimize, and oversee our companys conceptual and logical data systems. Your duties may include preparing architect reports, monitoring the system, and supervising system migrations. To succeed in this role, you should know how to examine new data system requirements and implement migration models. The ideal candidate will also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities. Responsibilities: Design and implement effective database solutions and models to store and retrieve company data. Examine and identify database structural necessities by evaluating client operations, applications, and programming. Assess database implementation procedures to ensure they comply with internal and external regulations. Install and organize information systems to guarantee company functionality. Prepare accurate database design and architecture reports for management and executive teams. Oversee the migration of data from legacy systems to new solutions.

As an Azure Data Architect at EY, you'll play a crucial role in leveraging your deep knowledge of data management in the cloud and big data analytics to build innovative solutions. Your responsibilities will include: - Building solutions and capabilities, and managing large teams with proven thought leadership - Hands-on experience with various Big Data analytics platforms and cloud data engineering stack - Designing and implementing robust data solutions using cloud-based technologies and expertise in data-related tools and languages - Knowledge of Cloud computing platforms such as Azure, Databricks, and Snowflake, along with Apache Spark, Apache Kafka, Splunk, and Datadog - Experience in data modeling, data quality, data discoverability, and governance tools - Strong technical skills in building analytics applications and complex solution architecting across various technologies, application spaces, data security, and governance Qualifications required for this role include: - Flexible, proactive, and self-motivated working style with strong problem resolution, change management, and client influencing skills - Excellent verbal and written communication skills, both formal and informal - Ability to multitask under pressure and work independently - Team player who thrives in a cooperative and collaborative environment - Adaptability to new technologies and standards - 8-11 years of industry experience with at least 5 years in a technology leader role About EY: EY is committed to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With diverse teams in over 150 countries, EY utilizes data and technology to provide assurance and support clients in growth, transformation, and operations. Across assurance, consulting, law, strategy, tax, and transactions, EY teams strive to ask better questions and find new answers to the complex issues of today's world.,

As an Azure Data Architect at EY, you will be responsible for leveraging your deep knowledge of data management in cloud and big data analytics to deliver exceptional solutions. Your key responsibilities will include: - Building solutions and capabilities, and leading large teams with proven thought leadership - Demonstrating hands-on knowledge with all Big data analytics platforms and cloud data engineering stack - Designing and implementing robust data solutions using cloud-based technologies and a variety of data-related tools and languages - Utilizing Cloud computing platforms such as Azure, Databricks, and Snowflake, along with tools like Apache Spark, Apache Kafka, Splunk, and Datadog - Ensuring data modelling, data quality, discoverability, and governance while building analytics applications - Showcasing deep knowledge of complex solution architecting, various technologies, application space, data security, and governance Qualifications required for this role include: - Flexible and proactive/self-motivated working style with strong personal ownership - Excellent communication skills both written and verbal - Ability to multi-task under pressure and work independently - Strong team player with the ability to collaborate effectively - Adaptable to new technologies and standards - 8-11 years of industry experience with at least 5 years in a technology leader role Additionally, EY is committed to building a better working world by creating long-term value for clients, people, and society through trust in the capital markets. With diverse teams in over 150 countries, EY leverages data and technology across assurance, consulting, law, strategy, tax, and transactions to address complex global issues.,

As a Data Architect within the Core Data Services team at Live Nation Entertainment, your primary responsibility will be to design the comprehensive solution and architecture of the Enterprise Data platform. Your role will involve collaborating closely with cross-functional teams, including data engineers, data scientists, and business stakeholders to drive innovation and ensure the seamless integration of data and analytics within the ecosystem. Your contributions will play a significant role in impacting the business and technology team, reaffirming the company's commitment to excellence. Key Responsibilities: - Design and evolve the Databricks Lakehouse architecture with a focus on scalability, cost efficiency, and reliability - Develop conceptual, logical, and physical data models to support integrated, reusable, and scalable data - Establish and enforce standards for metadata, lineage, and data quality - Collaborate with engineers, analysts, and business teams to design accessible, usable, and trustworthy data solutions - Mentor and provide architectural guidance to engineering staff - Lead workshops and training to raise data literacy and promote best practices Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field - 10+ years of tech industry experience with 5+ years in architecting and implementing big data strategies - Expertise with cloud-based data platforms such as Databricks, AWS, Snowflake, Spark - Deep knowledge of data modeling using tools like Erwin, ETL processes, data integration, and Data Warehousing concepts - Experience with Big Data technologies such as Databricks, Spark, Hadoop, and NoSQL databases - Strong understanding of data governance, lineage, and compliance - Excellent communication and interpersonal skills for effective collaboration with technical and non-technical teams Live Nation Entertainment offers a range of benefits and perks, including medical, vision, and dental benefits, free concert tickets, a 401(k) program with company match, and volunteer time off. The company is committed to providing equal employment opportunities and making reasonable accommodations for qualified individuals with disabilities. Please note that the expected compensation for this position at Live Nation Entertainment ranges from $144,000.00 USD to $180,000.00 USD.,

As a Data Architect within the Core Data Services team at Live Nation Entertainment, you will play a crucial role in designing and optimizing the Enterprise Data platform to empower the organization to harness the full potential of data. Your responsibilities will include collaborating with cross-functional teams, developing data models, establishing data governance standards, and leading the implementation of data solutions. Your contributions will have a significant impact on the business and technology team, driving innovation and excellence. Key Responsibilities: - Design and evolve the Databricks Lakehouse architecture for scalability, cost efficiency, and reliability - Develop tiered data ecosystem with maturity layers for systematic data transformation - Lead the development of the Data Lakehouse by aligning technical architecture with business needs - Evaluate and introduce new patterns, tools, or practices to enhance the data platform - Develop conceptual, logical, and physical data models for integrated, reusable, and scalable data - Establish standards for metadata, lineage, and data quality across the ecosystem - Collaborate with engineers, analysts, and business teams to design accessible and trustworthy solutions - Mentor and provide architectural guidance to engineering staff - Lead workshops and training to raise data literacy and promote best practices Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field - 10+ years of tech industry experience with 5+ years in architecting big data strategies - Expertise in cloud-based data platforms such as Databricks, AWS, and Snowflake - Deep knowledge of data modeling, ETL processes, data integration, and Data Warehousing concepts - Experience with Big Data technologies like Spark, Hadoop, and NoSQL databases - Proficiency in architecting data pipelines for streaming and batch integrations - Strong understanding of data governance, lineage, and compliance - Excellent communication and interpersonal skills for effective collaboration with technical and non-technical teams Live Nation Entertainment offers a range of benefits and perks, including health, wealth, family, and personal development programs. The company values equal employment opportunities and encourages a diverse and inclusive work environment. If you are passionate about data architecture and driven to make a lasting impact, this role at Live Nation may be the perfect fit for you.,

As an Enterprise Data Architect or Data Modelling Lead at Qualcomm India Private Limited, you will play a critical role in shaping the future of data capabilities as part of the Enterprise Data Transformation program. Your responsibilities will include defining the vision and strategy for the data platform, executing the development of enterprise data models, mapping out existing data warehouses, enabling self-service capabilities, collaborating with cross-functional teams, and challenging the status quo to drive innovation. Key Responsibilities: - Define and lead the vision, strategy, and roadmap for the data platform to enable AI as a strategic enabler. - Rapidly design and develop data models in advanced cloud-based solutions like AWS Databricks platform. - Develop an enterprise-level data model that fits into the medallion architecture lakehouse platform for GenAI analytics needs. - Partner with business stakeholders and internal data solutions team to empower self-service capabilities. - Collaborate with IT and Business teams with a product mindset to ensure data models meet business needs and drive innovation. - Encourage innovation and continuous improvement by challenging existing processes and proposing new solutions. Qualifications Required: - 14+ years of IT-related work experience in Data and Analytics domain with a Bachelor's degree. - 7+ years of enterprise data modelling experience. - Strong functional knowledge across various corporate functions. - Hands-on technical understanding in building complex data models for analytics needs. - Comfortable working with cross-functional teams and senior leadership. - Ability to understand existing data solutions and strategize for migration to Databricks architecture. - Strong accountability and ownership in project delivery. Minimum Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related field. - 12+ years of experience in data management, engineering, or science roles with at least 7 years in building enterprise-level data models. - Experience with lakehouse medallion data architecture and governance. - Proven implementation experience in migrating legacy DW data models. - Passion for exploring GenAI solutions and strong problem-solving skills. - Excellent leadership, communication, and collaboration skills in a global delivery model. If you are an individual with a disability and need accommodation during the application/hiring process, Qualcomm is committed to providing accessible process. Qualcomm expects employees to abide by all applicable policies and procedures, including security and confidentiality requirements. Please note that Qualcomm does not accept unsolicited resumes/applications from agencies.,

Role Overview: At Lilly, you will play a crucial role as a Databricks Data Architect in designing and scaling Lilly's Data & AI platform on cloud environments like AWS and Azure. Your focus will be on leveraging Databricks Lakehouse to deliver secure, scalable, and high-performing data architectures that drive AI/ML, analytics, and data product development across global business functions. As an ideal candidate, you will bring deep technical expertise, experience in data platform design, and strategic vision to facilitate Lilly's journey towards becoming an AI-driven enterprise. Key Responsibilities: - **Platform & Architecture Leadership:** - Design, implement, and optimize Lakehouse architectures using Databricks, Delta Lake, and Unity Catalog on AWS or Azure platforms. - Architect and operationalize data pipelines integrating structured and unstructured data sources for analytics and AI workloads. - Develop scalable frameworks supporting machine learning, generative AI, and predictive analytics at an enterprise scale. - Ensure architectural alignment with cloud security, governance, and compliance standards. - **AI/ML Enablement:** - Collaborate with Data Scientists, ML Engineers, and AI Product Teams to operationalize models using Databricks MLflow and Feature Store. - Design data readiness pipelines facilitating AI/ML experimentation, model training, and inference. - Implement MLOps practices for reproducibility, monitoring, and lifecycle management of ML models. - **Data Governance & Optimization:** - Implement data access, lineage, and stewardship frameworks using Unity Catalog, Purview, or AWS Glue Data Catalog. - Optimize Databricks performance, scalability, and cost through intelligent cluster configuration and workload tuning. - Advocate metadata management, data observability, and quality frameworks to ensure enterprise-grade reliability. - **Collaboration & Leadership:** - Partner with Product Owners, Business SMEs, and Cloud Architects to design domain-aligned, reusable data products. - Mentor and guide engineers on data engineering and cloud platform best practices. - Act as a technical thought leader, influencing data architecture standards and AI-enablement roadmaps. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or related discipline. - 10+ years in Data Engineering/Architecture roles with 3+ years of hands-on Databricks experience. - Proficiency in PySpark, SQL, Delta Lake, and Unity Catalog. - Experience in designing and managing data solutions on AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Synapse). - Strong understanding of data modeling, ETL orchestration, and performance tuning. - Familiarity with MLOps, Feature Stores, and AI/ML lifecycle automation. - Exposure to unstructured data, vector databases, and GenAI pipelines would be advantageous. - Preferred exposure to pharma, life sciences, or regulated data environments. The company, Lilly, is dedicated to promoting workplace inclusivity for individuals with disabilities, ensuring equal opportunities during the application process. Accommodation requests can be submitted through the provided form on the Lilly Careers website for assistance.,

As a Data Architect at LSEG, you will play a crucial role in supporting Finance, Compliance, and Risk programs by delivering a comprehensive data strategy to meet Transformation targets. Your primary responsibilities will include: - Building, maintaining, and communicating data models and data flows for Corporate engineering, ensuring alignment with CRM, Finance, Compliance, and Risk dependencies - Supporting the development of a Data Governance strategy based on Enterprise Data policies, Control, Regulatory requirements, and industry standards - Defining and developing Conceptual Data models in collaboration with Business, Change, and Tech Partners - Developing logical and physical data models, establishing clear relationships and dependencies between them - Designing functionality to manage data integration, migration, archiving, and duplicate data - Profiling and analyzing large volumes of historical data to support data lifecycle activities - Aligning technology data concepts with business outcomes and processes - Formulating test scenarios, testing data models/transformation logic, generating status reports, and running sign-off sessions with senior program managers - Building a Data Quality and exception management framework including functionalities for data correction, manual uploads, etc. The skills required for this role include: - Background and experience as a data architect or senior data modeller for data platforms or solutions - Previous experience in delivering strategic data solutions against Customer, Finance, compliance, or Risk requirements in banking, financial services, or similar regulated organizations - Solid understanding of Data Governance and Data Management concepts, including metadata management, master data management, and data quality - Experience in delivering end-to-end operating models and frameworks - Knowledge of data warehousing concepts and methodologies, including Kimball and Data Vault 2.0 - Proficiency in SQL, with hands-on experience in SQL joins and query writing - Flexibility, adaptability, problem-solving skills, and strong verbal and written communication abilities In addition to the specific job responsibilities and required skills, it is important to note that LSEG is a leading global financial markets infrastructure and data provider. Their purpose is to drive financial stability, empower economies, and enable sustainable growth. At LSEG, you will be part of a diverse workforce where individuality is valued, new ideas are encouraged, and sustainability is a priority. The company is committed to re-engineering the financial ecosystem to support sustainable economic growth and aims to achieve this by accelerating the transition to net zero, promoting the green economy, and creating inclusive economic opportunities.,

You will have the chance to build a career at EY with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are essential to help EY become even better. Join EY to build an exceptional experience for yourself and contribute to building a better working world for all. **Role Overview:** As an Azure Data Architect, you will be responsible for deep knowledge of data management in cloud and big data analytics. You should have proven delivery experience in building solutions, building capability, handling large teams, and demonstrating thought leadership. Your hands-on knowledge should cover all Big data analytics platforms and cloud data engineering stack. Experience in designing and implementing robust data solutions, extensive knowledge of cloud-based technologies, and expertise in various data-related tools and languages are crucial. Additionally, you should have knowledge of cloud computing platforms such as Azure, Databricks, and Snowflake, as well as tools like Apache Spark, Apache Kafka, Splunk, Datadog, data modeling, data quality, data discoverability, and governance tools. Strong technical skills and hands-on experience in building analytics applications are required. You must possess deep knowledge of complex solution architecting and have experience working with various technologies, application space, data security, and governance. **Key Responsibilities:** - Deep knowledge of data management in cloud and big data analytics - Proven delivery experience in building solutions - Building capability and handling large teams - Demonstrated thought leadership - Hands-on knowledge of all Big data analytics platforms and cloud data engineering stack - Designing and implementing robust data solutions - Expertise in cloud-based technologies and data-related tools and languages - Knowledge of cloud computing platforms including Azure, Databricks, and Snowflake - Familiarity with Apache Spark, Apache Kafka, Splunk, Datadog - Experience in data modeling, data quality, data discoverability, and governance tools - Strong technical skills in building analytics applications - Deep knowledge of complex solution architecting **Qualifications Required:** - Flexible and proactive/self-motivated working style with strong personal ownership - Excellent communicator (written and verbal) - Ability to multi-task under pressure and work independently - Strong verbal and written communication skills - Team player with the ability to work in a cooperative environment - Adaptable to new technologies and standards - 8-11 years of industry experience with at least 5 years in a technology leader role EY exists to build a better working world, creating long-term value for clients, people, and society, and building trust in capital markets. Through data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across various disciplines, EY teams ask better questions to find new answers to the complex issues facing the world today. You will have the chance to build a career at EY with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are essential to help EY become even better. Join EY to build an exceptional experience for yourself and contribute to building a better working world for all. **Role Overview:** As an Azure Data Architect, you will be responsible for deep knowledge of data management in cloud and big data analytics. You should have proven delivery experience in building solutions, building capability, handling large teams, and demonstrating thought leadership. Your hands-on knowledge should cover all Big data analytics platforms and cloud data engineering stack. Experience in designing and implementing robust data solutions, extensive knowledge of cloud-based technologies, and expertise in various data-related tools and languages are crucial. Additionally, you should have knowledge of cloud computing platforms such as Azure, Databricks, and Snowflake, as well as tools like Apache Spark, Apache Kafka, Splunk, Datadog, data modeling, data quality, data discoverability, and governance tools. Strong technical skills and hands-on experience in building analytics applications are required. You must possess deep knowledge of complex solution architecting and have experience working with various technologies, application space, data security, and governance. **Key Responsibilities:** - Deep knowledge of data management in cloud and big data analytics - Proven delivery experience in building solutions - Building capability and handling large teams - Demonstrated thought leadership - Hands-on knowledge of all Big data analytics platforms and cloud data engineering stack - Designing and implementing robust data solutions - Expertise in cloud-based technologies and data-related t

As a ServiceNow Data Architect at State Street, your role involves designing, implementing, and managing ServiceNow solutions for CSDM, CMDB Taxonomy, and Data Warehousing. You will work alongside a geographically dispersed team of ServiceNow developers and administrators, utilizing your technical architecture expertise to ensure the smooth operation and enhancement of the ServiceNow platform. Key Responsibilities: - Define and lead the technical architecture for a large ServiceNow data platform, Data Lake, and reporting infrastructure. - Govern the CMDB Taxonomy and oversee CMDB Health remediation efforts. - Authorize and manage data exports of production data. - Drive the adoption of secure, sustainable, and performative data movement techniques. - Govern the adoption of the Common Service Data Model. - Partner with various teams to align technical roadmaps with business objectives. - Translate business requirements into data solutions and architectural strategies. - Identify and implement automation and process optimization opportunities within ServiceNow workflows. - Stay updated on ServiceNow product developments and industry trends to recommend improvements. Qualifications Required: - BE/BTech/Bachelors degree in Computer Science, Information Technology, or related field. - 10+ years of hands-on experience in data architecture, platform engineering, or data management. - 5+ years of experience in ServiceNow platform data architecture. - ServiceNow Certified Application Developer (CAD)/Certified System Administrator (CSA). - Certified Technical Architect (CTA). - ServiceNow Implementation Specialist Certifications (e.g., Data Foundations, ITSM, HAM). - Experience with ServiceNow Performance Analytics and/or other BI platforms. - Deep understanding of ServiceNow data schema and architecture, particularly CMDB and CSDM. - Expertise in designing data ingestion, storage, processing, and orchestration, data modeling, governance, security, and privacy regulations. Additional Company Details: State Street's technology function, Global Technology Services (GTS), plays a crucial role in delivering data and insights to clients. They drive the company's digital transformation using advanced technologies like cloud, AI, and robotics process automation. State Street offers a collaborative environment where technology skills and innovation are highly valued, providing opportunities for technical talent to contribute to creative technology solutions and shape the future of financial services. State Street is committed to creating a great work environment with competitive benefits packages and development programs to help employees reach their full potential. They are an equal opportunity and affirmative action employer, fostering an inclusive environment where every employee is valued and empowered. Join State Street to enhance your technical skills, solve real problems, and make a significant impact on the financial services industry.,

Role Overview: Join EY, a globally connected powerhouse of diverse teams, to shape your future with confidence and build a better working world. As a Data Architect within the Data Analytics and AI team, you will play a pivotal role in enabling clients to derive significant value from their information assets by embedding innovative data analytics solutions. Your passion for leveraging data to solve complex problems and drive business outcomes will drive growth by developing client relationships and delivering exceptional customer experiences. Key Responsibilities: - Lead and mentor project teams across Microsoft Fabric, including data engineers, data architects, and Power BI developers, to deliver end-to-end modern data platform solutions. - Own the Microsoft Fabric solution architecture for complex client projects, encompassing lakehouse, data warehouse, data integration, and semantic model layers. - Design and implement Fabric-based data artefacts using Lakehouses, Data Warehouses, Data Pipelines, Dataflows Gen2, and Notebooks based on client needs and industry best practices. - Guide teams on best practices in Direct Lake mode, OneLake shortcuts, delta tables, and efficient data layer separation (Bronze, Silver, Gold). - Implement Fabric-native data governance leveraging Microsoft Purview, sensitivity labels, and workspace security to ensure compliance, privacy, and data protection. - Collaborate with cross-functional teams to translate business needs into robust Microsoft Fabric-based technical designs. - Conduct data architecture assessments and develop migration roadmaps for legacy or cloud-based environments. - Define and implement CI/CD processes for Fabric using Azure DevOps Git integration. - Act as a trusted Microsoft Fabric SME to provide architectural direction, governance standards, optimization techniques, and align Fabric deployments with strategic business goals. Qualifications Required: - Third level qualification in Computer Science, Mathematics, or related discipline, or relevant experience. - Minimum 7 years of experience in data architecture and engineering, with at least 2 years of consulting experience. - Proven expertise in designing and deploying solutions within Microsoft Fabric. - Proficiency in data modelling techniques, data pipelines, SQL, PySpark, and notebooks within Fabric. - Experience in Agile environments, CI/CD pipelines, and client-facing communication skills. Additional Company Details: EY empowers its people by offering a supportive culture, innovative technology, diverse teams, and opportunities for career development. They are committed to creating a better working world by delivering exceptional service to clients and supporting their employees with a comprehensive Total Rewards package. EY values diversity, inclusion, and equity, fostering a culture where all differences are respected and valued. Role Overview: Join EY, a globally connected powerhouse of diverse teams, to shape your future with confidence and build a better working world. As a Data Architect within the Data Analytics and AI team, you will play a pivotal role in enabling clients to derive significant value from their information assets by embedding innovative data analytics solutions. Your passion for leveraging data to solve complex problems and drive business outcomes will drive growth by developing client relationships and delivering exceptional customer experiences. Key Responsibilities: - Lead and mentor project teams across Microsoft Fabric, including data engineers, data architects, and Power BI developers, to deliver end-to-end modern data platform solutions. - Own the Microsoft Fabric solution architecture for complex client projects, encompassing lakehouse, data warehouse, data integration, and semantic model layers. - Design and implement Fabric-based data artefacts using Lakehouses, Data Warehouses, Data Pipelines, Dataflows Gen2, and Notebooks based on client needs and industry best practices. - Guide teams on best practices in Direct Lake mode, OneLake shortcuts, delta tables, and efficient data layer separation (Bronze, Silver, Gold). - Implement Fabric-native data governance leveraging Microsoft Purview, sensitivity labels, and workspace security to ensure compliance, privacy, and data protection. - Collaborate with cross-functional teams to translate business needs into robust Microsoft Fabric-based technical designs. - Conduct data architecture assessments and develop migration roadmaps for legacy or cloud-based environments. - Define and implement CI/CD processes for Fabric using Azure DevOps Git integration. - Act as a trusted Microsoft Fabric SME to provide architectural direction, governance standards, optimization techniques, and align Fabric deployments with strategic business goals. Qualifications Required: - Third level qualification in Computer Science, Mathematics, or related discipline, or relevant experience. - Minimum 7 years of experience in data architecture

As the SAP Data Architect at our company, you will play a crucial role in managing the process and tools for data migrations across divisions. Your responsibilities will include establishing a process for master data maintenance & data dictionary across the SAP landscape, defining policies, standards, and rules for various data management activities, as well as defining policies and data standards for security, quality, availability, and appropriate data retention. Key Responsibilities: - Establish and monitor the operations of the data governance organization - Review the process and cutover of major data activities - Work with functional and IT counterparts to implement data governance policies - Drive corrective measures to ensure compliance with data governance policies - Lead project management, technical architecture design, and technology strategy - Advise management on technology purchases and future projects - Analyze, design, code, test, implement, and maintain IT solutions - Support and resolve problems for client users - Evaluate and implement third-party software solutions Qualifications Required: - 5+ years of experience in managing data within SAP ECC - Track record in defining and implementing data governance strategy - Leadership skills in both business planning and IT - Strong oral and written communication skills - Strong interpersonal and leadership skills - Project management and organizational abilities - Knowledge of SDLC, infrastructure architecture, and design patterns - Working knowledge of Database, Erwin, SQL, Informatica, Teradata - Analytical and problem resolution skills - Quality and cost-driven mindset - Ability to use Six Sigma tools for driving change Furthermore, the company operates in the IT/Computers-Software industry and the role requires a B.E/B.Tech degree. For any inquiries or to apply for the position, kindly send an email to jobs@augustainfotech.com.,

Role Overview: YASH Technologies is seeking Data Lake Professionals with a strong background in data and analytics to join our team in Hyderabad, Indore, and Pune. As a Data Architect, you will be responsible for data integration, modelling, and architecture on large-scale projects. Your expertise in technologies such as Spark, SQL, and Python will be crucial in driving business transformation and enhancing stakeholder experiences. Key Responsibilities: - Utilize your 10+ years of experience in data and analytics to design and implement data lakes, data warehouses, and Lakehouse architectures. - Demonstrate proficiency in data ingestion techniques, metadata management, and working with tools like ADF, Databricks, and BI tools. - Ensure governance and compliance by adhering to data governance frameworks, security standards, and regulatory requirements such as GDPR and CCPA. - Leverage your soft skills including strong communication, leadership, and stakeholder management to mentor teams and influence cross-functional decisions. - Apply your domain knowledge in ERP, manufacturing, engineering, or supply chain, with SAP experience being a plus. Qualifications Required: - Bachelor's degree in a relevant field such as Computer Science, Information Technology, or Engineering. - Proven experience as a Data Architect on large-scale projects. - Strong understanding of data integration, modelling, and architecture principles. - Hands-on experience with technologies including Spark, SQL, Python, and data ingestion techniques. - Familiarity with ADF, Databricks, and BI tools. - Knowledge of data governance frameworks, security standards, and regulatory compliance. - Excellent communication, leadership, and stakeholder management skills. Additional Details: YASH Technologies is committed to providing a supportive and inclusive team environment where you can develop your career while leveraging career-oriented skilling models. Our Hyperlearning workplace is based on principles of flexible work arrangements, trust, transparency, and stable employment with a great atmosphere and ethical corporate culture. Join us in creating positive changes in an increasingly virtual world.,

As a Data Architect with over 10 years of experience, you will be responsible for designing and implementing complex data solutions using Snowflake. Your leadership in technical design and architecture will be crucial for the successful implementation of data projects. Key Responsibilities: - Design and implement data solutions using Snowflake and DBT. - Develop data models, schema designs, and optimize performance within Snowflake environments. - Apply cloud data warehousing best practices, especially in Snowflake. - Utilize python/java/scala, SQL, ETL processes, and data integration techniques with a focus on Snowflake. - Stay updated with other cloud platforms and data technologies such as AWS, Azure, and GCP. - Implement data governance frameworks and DataOps practices. - Work with realtime streaming technologies and Change Data Capture (CDC) mechanisms. - Uphold data governance principles and DataOps methodologies. - Showcase a proven track record in architecting and delivering complex data solutions on cloud platforms, specifically Snowflake. Qualifications Required: - Minimum of 10 years of experience in data architecture. - Proficiency in Snowflake, data modeling, and schema design. - Strong understanding of cloud data warehousing concepts. - Expertise in python/java/scala, SQL, ETL processes, and data integration. - Familiarity with AWS, Azure, GCP, realtime streaming technologies, and CDC mechanisms. - Demonstrated experience in data governance frameworks and DataOps practices. - Proven track record of successfully delivering complex data solutions on cloud platforms, particularly Snowflake. This role requires dedication during the 8-hour workday, with mandatory overlap hours during the EST Time zone for meetings. Your expertise in Snowflake and other relevant technologies will be essential in driving the success of data projects within the company.,

As a highly skilled and strategic Data Architect with expertise in the Azure Data ecosystem, your role at Lexmark involves defining and driving the overall Azure-based data architecture strategy aligned with enterprise goals. You will architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse. Providing technical leadership on Azure Databricks for large-scale data processing and advanced analytics use cases is a crucial aspect of your responsibilities. Key Responsibilities: - Architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse. - Provide technical leadership on Azure Databricks for large-scale data processing and advanced analytics use cases. - Integrate AI/ML models into data pipelines and support the end-to-end ML lifecycle including training, deployment, and monitoring. - Collaborate with cross-functional teams such as data scientists, DevOps engineers, and business analysts. - Evaluate and recommend tools, platforms, and design patterns for data and ML infrastructure. - Mentor data engineers and junior architects on best practices and architectural standards. Qualifications Required: - Strong background in data modeling, ETL/ELT frameworks, and data warehousing concepts. - Proficiency in SQL, Python, PySpark, and a solid understanding of AI/ML workflows and tools. - Exposure to Azure DevOps. - Excellent communication and stakeholder management skills. If you are an innovator looking to make your mark with a global technology leader, apply now to join our team in Kolkata, India.,

Job Description As a Data Architect at Experian, you will be responsible for designing and governing modern, cloud-native data platforms and analytics solutions on AWS. Your role will involve collaborating with global technology teams to define data models, review architecture designs, and ensure alignment with enterprise standards. Your expertise will play a crucial role in shaping the future of Experian's data and analytics ecosystem. This is a hybrid role, expected to work from the Hyderabad office. Key Responsibilities - Lead data architecture reviews and provide guidance on platform designs, data models, and non-functional requirements. - Collaborate with global teams to ensure architectural alignment, promote reuse of data assets, and champion best practices in data engineering. - Design and implement conceptual, logical, and physical data models for complex financial systems. - Advocate for enterprise data platforms and drive adoption across regions. - Architect scalable, secure, and resilient data solutions using AWS services such as S3, Glue, Redshift, EMR, Kinesis, Lake Formation, and SageMaker. - Apply AWS Well-Architected Framework principles and cloud-native patterns to solution designs. - Develop and maintain architectural documentation including blueprints, patterns, and technical specifications. - Lead migration of legacy data systems to modern AWS-based platforms and oversee decommissioning. - Partner with product teams to capture data requirements and feed them into platform backlogs. - Contribute to the enterprise data platform roadmap, ensuring alignment with business and technology goals. - Stay current with emerging data technologies and industry best practices. - Mentor data engineering teams and promote architectural excellence. - Provide technical leadership in integrating analytics and AI platforms using SageMaker Unified Studio. Qualifications - 8+ years of experience in enterprise data architecture and modeling, with proven experience as a Data Architect. - Strong hands-on experience with AWS data services: S3, Lake Formation, Glue, EMR (Spark), Lambda, Redshift, Kinesis, MSK, and SageMaker Unified Studio. - Expertise in data modeling techniques including 3NF, Dimensional, and Data Vault 2.0. - Strong understanding of cloud-native architectures, data lakehouse, and event-driven/streaming patterns. - Experience with infrastructure as code (Terraform, AWS CDK) and CI/CD (Jenkins, Bitbucket). - Familiarity with identity and access management (Okta, AWS IAM) and data security best practices. - Experience working with LLMs and AI/ML frameworks. - Proficiency in SQL and at least one programming language (Python, Scala, or Java). - Knowledge of financial services regulations such as GDPR and PCI-DSS. - Excellent communication and stakeholder engagement skills. - Bachelor's degree in computer science, Information Technology, or related field. Preferred - AWS certifications (e.g., AWS Certified Data Analytics Specialty, Solutions Architect Professional). - Experience with data governance tools such as Collibra and Alation, and metadata management. - Familiarity with data mesh principles and federated governance. (Note: Additional company information was omitted from the Job Description),