Azure Data Architect at Capgemini

Key Responsibilities1. Design and Build Data SolutionsArchitect and implement modern data platforms using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Data Lake Storage, and Cosmos DB.Develop and maintain data pipelines for ingestion, transformation, and storage.Design data models and schemas to support business intelligence and advanced analytics.2. Data Governance and ComplianceImplement data security, privacy, and compliance measures.Establish governance frameworks for data quality and lifecycle management.3. Collaboration and LeadershipPartner with business stakeholders, data scientists, and engineering teams to align architecture with business objectives.Provide technical leadership, mentoring, and enforce best practices for data engineering teams.4. Performance and OptimizationMonitor system performance and troubleshoot issues.Optimize architecture for cost efficiency, scalability, and high availability.5. Innovation and EnablementStay updated on emerging Azure technologies and industry trends.Conduct workshops and enablement sessions to drive adoption of Azure data solutions.Required Skills and ExperienceTechnical ExpertiseStrong proficiency in Azure services: Data Factory, Synapse, Databricks, Data Lake, Power BI.Hands-on experience with data modeling, ETL design, and data warehousing.Knowledge of SQL, NoSQL, PySpark, and BI tools.Architecture and Strategy7+ years in data architecture roles; 3+ years with Azure data solutions.Familiarity with Lakehouse architecture, Delta/Parquet formats, and data governance tools.Preferred QualificationsExperience in regulated industries (e.g., Financial Services).Knowledge of Microsoft Fabric, Generative AI, and RAG-based architectures.Education & CertificationsBachelor’s or Master’s degree in Computer Science, Information Systems, or related fields.Certifications such as Microsoft Certified: Azure Solutions Architect Expert or Azure Data Engineer Associate are highly desirable.