Senior Analytics Engineer, FinOps
Core
Design and build scalable, governed financial data models and marts in Databricks to support reliable financial reporting and analytics.
Role type
Senior Analytics Engineer (Finance Data)
Builds
Scalable financial data marts, reusable data models, and data quality/reconciliation processes
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features
Required skills
Advanced SQL, Python, PySpark, Databricks, Dimensional modeling, Data quality/reconciliation, Git-based source control
Preferred skills
Financial/accounting/billing data experience, SOX-controlled environments, Insurance/healthcare industry experience, Databricks Unity Catalog
Responsibilities
Design and build scalable financial data marts in Databricks; Partner with Finance SMEs to translate requirements into data solutions; Investigate existing data and logic to identify inconsistencies; Centralize shared financial definitions and transformations; Build reconciliation and validation processes; Partner with Data Engineering on architecture and adoption; Troubleshoot complex data issues and improve solution reliability
Seniority
Senior, hands-on IC
