Data Engineer with strong MS Fabric exp

Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
• Implement medallion architecture (Bronze, Silver, Gold) to support data lifecycle and data quality.
• Support the sunsetting of legacy SQL-based infrastructure and SSRS, ensuring data continuity and stakeholder readiness.
• Create and manage notebooks (e.g., Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.
• Build and deliver curated datasets and analytics models to support Power BI dashboards and reports.
• Develop dimensional and real-time data models for analytics use cases.
• Collaborate with data analysts, stewards, and business stakeholders to deliver fit-for-purpose data assets.
• Apply data governance policies including row-level security, data masking, and classification in line with Microsoft Purview or Unity Catalog.
• Ensure monitoring, logging, and CI/CD automation using Azure DevOps for data workflows.
• Provide support during data migration and cutover events, ensuring minimal disruption.

Technical Stack:

• Microsoft Fabric
• Azure Databricks
• SQL Server / SQL Managed Instances
• Power BI (including semantic models and datasets)
• SSRS (for legacy support and decommissioning)

Qualifications:

• Bachelor s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering roles, preferably in government or regulated environments
• Proficiency in SQL, Python, Spark.
• Hands-on experience with Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)
• Experience with Power BI data modeling and dashboard development
• Familiarity with data governance tools (Microsoft Purview, Unity Catalog)
• Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design
• Strong communication and collaboration skills.

Preferred Qualifications:

• Certifications such as Microsoft Certified: Fabric Analytics Engineer or Azure Data Engineer Associate
• Knowledge of CI/CD automation with Azure DevOps
• Familiarity with data security and compliance (e.g., FIPS 199, NIST)
• Experience managing sunset and modernization of legacy reporting systems like SSRS

Soft Skills:

• Strong analytical thinking and problem-solving abilities
• Ability to collaborate across multidisciplinary teams
• Comfort in fast-paced and evolving technology environments

This role is critical to our shift toward a modern data platform and offers the opportunity to influence our architectural decisions and technical roadmap.