Job Summary The Architect role involves designing and implementing scalable data solutions using advanced technologies like MS Data Fabric Power BISpark OneLake SQL PySpark and Have hands- on Experience in Power BI. The candidate will work in a hybrid model collaborating with cross-functional teams to deliver high-quality data architectures that drive business insights and innovation. Key Responsibilities: Data Engineer 1. Pipeline Development: Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Azure Data Factory (ADF) and Azure Databricks. 2. Data Transformation: Utilize PySpark and SparkSQL to perform complex data transformations, cleaning, and aggregation. 3. Azure Data Lake Management: Work with Azure Data Lake Storage (ADLS) Gen2 and Azure Blob Storage for efficient data handling. 4. Data Modeling: Create and optimize data models (conceptual/logical/physical) for Lakehouse architecture (Medallion: Bronze, Silver, Gold). 5. Optimization: Perform advanced performance tuning for PySpark jobs and ADF pipelines to ensure reliability and cost efficiency. 6. CI/CD & DevOps: Implement CI/CD pipelines for data engineering code using Git, Azure DevOps, or GitHub Actions. 7. Collaboration: Work with stakeholders, data scientists, and analysts to translate business requirements into technical solutions Required Skills: Microsoft Fabric, ADF, Azure Databricks, PySpark, Python, ADLS, SQL, ADO Certifications Required Certified Spark Developer Python Data Engineering Certification SQL Database Certification MS Power BI Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.