Note: The job is a remote job and is open to candidates in USA. Franklin Fitch is partnering with an unnamed professional services organization hiring a Senior Data Engineer to shape and deliver its Microsoft Fabric data platform. The role owns architecture, migration, engineering standards, security and governance, while guiding engineers and partnering with senior stakeholders and analytics teams.
Responsibilities
- Own the design of Fabric data solutions end to end, from ingestion into OneLake through to Lakehouse, Warehouse and semantic layers
- Define the data architecture, modeling approach and workspace structure that the wider team will build on
- Make sound decisions on performance, scalability, capacity and cost, and explain the trade-offs clearly
- Evaluate new Fabric features and tooling and recommend where they add value
- Build and deliver complex pipelines using Data Factory, Dataflows Gen2, notebooks and Spark, with SQL and Python as the core toolkit
- Lead the migration of legacy pipelines, data warehouses and ETL workloads into Fabric, including planning, sequencing and cutover
- Support batch and near-real-time workloads, choosing the right pattern for each business need
- Take ownership of delivery on high-priority workstreams from requirements through to production
- Set best practice for pipeline development, testing, version control, CI/CD and documentation
- Embed monitoring, alerting and data quality checks into the platform so problems surface early
- Lead root cause analysis on complex incidents and drive the fixes that stop them recurring
- Review code and designs across the team and raise the technical bar
- Build security, role-based access control and data classification into the platform from the start
- Work with governance, risk and information security teams to meet internal policy and regulatory requirements
- Drive the adoption of cataloging, lineage and stewardship practices using tools such as Microsoft Purview
- Partner with analytics, technology and business leaders to turn priorities into clear technical roadmaps
- Mentor engineers and help build a strong data engineering culture
- Work with BI and analytics teams to make sure semantic models and curated datasets serve reporting and AI use cases
- Communicate progress, risks and technical decisions to senior stakeholders in plain language
Skills
- 6+ years of experience in data engineering within enterprise environments
- Production experience with Microsoft Fabric, or deep Azure data stack experience (Data Factory, Synapse, Azure Data Lake) with a clear move into Fabric
- Expert SQL, including complex query design and performance tuning
- Strong Python (PySpark preferred) for transformation, automation and tooling
- Proven track record in data modeling, dimensional design and Lakehouse or warehouse architecture
- Experience designing and running production pipelines with strong monitoring, testing and CI/CD practices
- Experience leading technical delivery, whether through mentoring, code review or technical ownership of a workstream
- Excellent communication with both technical and senior business stakeholders
- Power BI, DAX and semantic model design experience
- Microsoft certification such as DP-600 or DP-700
- Experience leading large-scale data migrations to a cloud platform
- Hands-on experience with Microsoft Purview or other data governance and cataloging tools
- Familiarity with real-time analytics and event-driven architectures
- Exposure to AI and machine learning use cases built on enterprise data
- Background in professional services, financial services or another regulated environment
Benefits
- Fully remote (restricted states)
Company Overview