Lead the design and implementation of scalable data pipelines and data processing frameworks in Microsoft Fabric.
Define data engineering standards, development practices, naming conventions, coding guidelines, and reusable technical patterns.
Lead implementation of Bronze, Silver, and Gold layers in the Medallion Architecture.
Oversee ingestion, transformation, orchestration, validation, and publication of data from multiple enterprise, clinical, operational, and cloud\-based sources.
Guide development of Fabric Pipelines, Dataflows Gen2, Notebooks, Lakehouse tables, Warehouse objects, and curated datasets.
Ensure scalability, performance, reliability, maintainability, security, monitoring, and optimization of data solutions.
Define standards for data quality, reconciliation, logging, error handling, auditability, and lineage.
Mentor and guide data engineering teams across onshore/offshore locations.
Collaborate with architects, platform engineers, BI teams, QA teams, AI/ML teams, functional consultants, and stakeholders.
Support deployment planning, release activities, production support, and operational handover.
*Skills:**
Strong hands\-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Pipelines, Dataflows Gen2, Notebooks, and Power BI integration.
Expertise in ETL/ELT, data pipelines, distributed data processing, and cloud\-scale data engineering.
Strong SQL, Python, PySpark, and data modeling skills.
Experience with Lakehouse, Warehouse, and Medallion Architecture.
Understanding of Delta tables, dimensional modeling, star schema, facts, dimensions, and curated analytical datasets.
Experience integrating structured, semi\-structured, file\-based, API\-based, enterprise application, and cloud data sources.
Experience with data quality, reconciliation, logging, monitoring, and error\-handling frameworks.
Experience leading technical teams and coordinating onshore/offshore delivery.
Experience with Git, CI/CD, Azure DevOps, branching, code reviews, and release management.
Good to Have: Experience with Azure Data Factory, Synapse, Databricks, ADLS Gen2, Azure SQL, Microsoft Purview, or related Azure services.
Good to Have: Experience with CRO, clinical research, pharma, healthcare and clinical systems.