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Serve as the technical authority for all Microsoft Fabric components (OneLake, Lakehouse, Data Warehouse, and Real-Time Analytics) and establish enterprise-grade governance using Microsoft Purview
Own the Fabric platform's operational model, including capacity planning, workspace topology design, environment lifecycle management, and rigorous cost optimization
Lead the design and development of modular data products, Lakehouse schemas, and scalable ETL/ELT pipelines using Data Factory and Spark Notebooks for high-volume workloads
Own the DataOps/CI-CD strategy and operational monitoring, leveraging Git integration and Deployment Pipelines to automate promotion across environments and maintain strict data quality SLAs
Set the gold standard for engineering excellence, mentoring data engineers and collaborating with data scientists to design data processing components for MLOps workflows.
Requirements
Mandatory, deep hands-on expertise across the entire Microsoft Fabric ecosystem alongside expert-level proficiency in Microsoft Purview for data governance and lineage
Expert-level coding proficiency in Python (for Spark/Notebooks) and SQL (T-SQL/Spark SQL), with strong fundamentals in distributed systems and data modelling
Proven experience implementing DataOps, Infrastructure-as-Code (IaC), and automated CI/CD pipelines using GitHub, Azure DevOps, or Fabric Deployment Pipelines
Demonstrated ability to lead with influence, drive architectural consensus, and manage multi-disciplinary stakeholders across engineering, data science, and product teams.
What we offer
Access to a Udemy license for ongoing learning and continuous professional development
Access to exclusive discounts across various platforms