Senior Microsoft Fabric Developer

Rockstar! We're Hiring a Microsoft Fabric Senior Developer with ADF and Medallion Architecture experience.

This is a 6 month assignment, and fully remote

Role Summary

We are seeking a seasoned Senior Data Engineer / Microsoft Fabric Developer to design, build, and operate scalable data platforms using Microsoft Fabric, Azure Data Factory (ADF), and Medallion Architecture patterns. This role leads end-to-end data platform initiatives, translates business requirements into robust data pipelines and lakehouse solutions, and mentors engineers to deliver reliable, performant, and governed data products.

Key Responsibilities

· Architect and implement end-to-end data solutions on Microsoft Fabric, applying Medallion Architecture (Bronze, Silver, Gold) to organize ingestion, cleansing, transformation, and serving layers.

· Design and build scalable ETL/ELT pipelines using Azure Data Factory, Fabric Dataflows, and Fabric Notebooks; optimize for throughput, latency, and cost.

· Develop data models and transformations using Spark, SQL, and Fabric OneLake; implement incremental processing, schema evolution, and data quality checks.

· Implement data governance and security: access controls, encryption, lineage, cataloging, and compliance with organizational policies.

· Operationalize pipelines with monitoring, alerting, automated testing, DevOps CI/CD setup and Deployment automation, and runbook documentation to ensure high availability.

· Collaborate cross-functionally with product owners, data scientists, BI teams, and platform engineers to translate requirements into production-ready data products.

· Mentor and review code, design patterns, and best practices for junior and mid-level engineers.

· Drive performance tuning for Spark jobs, Fabric compute, and storage; manage cost optimization strategies.

· Evaluate and adopt new Fabric features, Azure services, and third-party tools to improve platform capabilities.

Required Qualifications

· Experience: 5+ years in data engineering or related roles, Fabric data pipelines, Azure Data Factory or equivalent orchestration tools.

· Microsoft Fabric: Hands-on experience designing and delivering solutions on Microsoft Fabric or strong experience with lakehouse architectures and willingness to adopt Fabric.

· Medallion Architecture: Proven experience implementing Bronze/Silver/Gold layers, data partitioning, and incremental processing patterns.

· Big Data Technologies: Strong Spark experience (PySpark or Scala), SQL, and familiarity with distributed compute concepts.

· Data Storage: Experience with OneLake, ADLS Gen2, Delta Lake or similar lakehouse storage formats.

· DevOps and CI/CD: Experience with Git, Azure DevOps or GitHub Actions and deployment pipelines.

· Data Governance: Knowledge of data cataloging, lineage, RBAC, and compliance controls.

· Soft Skills: Strong communication, stakeholder management, and mentoring ability.

Technical Skills and Tools

· Core: Azure Data Factory; Microsoft Fabric components (Data Engineering, Data Factory integration, Notebooks, OneLake); Spark (PySpark/Scala); SQL.

· Orchestration and Scheduling: ADF pipelines, Fabric pipelines, event-driven triggers.

· CI/CD and Automation: Git, Azure DevOps, GitHub Actions

· Value Added Skills and Tool: Azure Monitor , Databricks experience; Power BI , Data Quality Great Expectations , Purview

Preferred Qualifications

· Batchers degree in Computer Science, Engineering, Data Science, or related field.

· Value Added Certifications : Microsoft Certified: Azure Data Engineer Associate or Microsoft Fabric certifications.