Primary Responsibilities
- Own Microsoft Fabric architecture for IRM; define standards, design patterns, and best practices.
- Design/build/maintain enterprise risk data pipelines in Fabric using medallion architecture; consolidate data from ServiceNow GRC, SAP, Workday, SuccessFactors, assurance and other systems.
- Architect workflows using Fabric Data Factory, Synapse Data Engineering (Spark notebooks), and Dataflows Gen2; create unified data models and Power BI semantic models.
- Establish/own IRM data governance (quality, validation, monitoring, security, access controls).
- Partner with Analytics Developers/Architects/Data Scientists to deliver datasets for dashboards, reports, predictive models, and risk assessments.
- Build automated/scalable solutions for real-time or near-real-time monitoring; optimize pipeline performance; implement data observability.
- Independently manage migration/integration of new risk platforms; respond to complex data requests with clean, documented datasets.
- Lead resolution of complex data quality issues; maintain documentation for lineage, transformations, dictionaries, and architecture.
Basic Qualifications/Requirements
- Bachelorβs degree in Computer Science/Information Systems/Data Engineering (or related).
- 5+ years data engineering/ETL/data integration with increasing responsibility.
Preferred Skills/Experience
- Microsoft Fabric (preferred) and/or Azure Data Factory/Synapse/Databricks; advanced SQL, Python/PySpark, Git version control.
- LLM/API workflow integration (e.g., RAG/embeddings); awareness of agentic tool-calling (e.g., MCP).
- Power BI semantic modeling; medallion architecture; ServiceNow GRC/GRC-like systems; dimensional modeling/star schema.
- Regulated/pharma/healthcare or risk/audit/compliance domain data; Power Platform integration with Fabric.
Travel: Up to 5β10%.
Compensation & Benefits (as stated)
- Anticipated wage: $124,500β$182,600; bonus eligibility; 401(k), pension, vacation, medical/dental/vision, flexible benefits, life insurance, certain time-off/leave, and well-being benefits.