What are the responsibilities and job description for the Senior Data Engineer position at Synerfac Technical Staffing?
Key Responsibilities
Data Platform & Migration
- Design the firm"s data architecture in Microsoft Fabric, including a Lakehouse / medallion (bronze-silver-gold) model, and lead the migration of legacy SQL databases, ETL server processes, and aging vendor reporting into it.
- Establish engineering standards for source control, CI/CD, testing, monitoring, and documentation across the data estate.
- Define how data is delivered to and interacts with users through semantic models, Power BI, and self-service tooling, with a clear vision for the end-user experience.
- Leverage AI (Microsoft Copilot, agents, and AI-assisted development) to accelerate delivery and unlock new analytical and operational capabilities.
- Operations & Reliability
- Partner with business teams to identify opportunities to add efficiency or capability through technology, and translate those into architected solutions.
- Build resilient, stress-tested solutions and lead root-cause diagnosis when processes fail.
- Document architecture, dependencies, and runbooks so critical knowledge is shared, not siloed.
Required Qualifications
- Bachelor's degree in a related field, or equivalent demonstrated experience defined as eight (8) or more years in data engineering/architecture roles, including at least one delivered production migration to a modern data platform. Relevant certifications (e.g., Microsoft DP-600 Fabric Analytics Engineer or Azure Data Engineer Associate) may substitute for formal education.
- Demonstrated experience architecting and delivering modern data platforms. Direct Microsoft Fabric experience is strongly preferred; equivalent, transferable experience on Azure Synapse, Databricks, or a comparable Lakehouse platform
- Strong SQL engineering skills (not just data extraction) and proven ability to model, transform, and land data in its intended destination.
- Hands-on experience building data pipelines / ETL and integrating disparate systems via APIs.
- Proficiency with Power BI semantic models and report development.
- Comfort working in a Microsoft 365 / Azure ecosystem (OneDrive, SharePoint, Teams, Entra).
Salary : $130,000 - $160,000