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LeadFull-timeGoRustAPIMicroservicesAICI/CDGit
About the Role
We are looking for a Staff Analytics Engineer to lead the definition, modeling, and governance of our enterprise data layer. This role serves as the technical foundation for internal KPIs and investor reporting, ensuring data accuracy and consistency across the company. You will work at the intersection of data modeling, software engineering, and architecture to maintain auditable data systems.
Key Responsibilities
- →Own the enterprise data model by defining and maintaining canonical entities and their relationships
- →Architect and maintain the dbt semantic layer with modular, tested, and versioned models
- →Govern KPI and metric definitions in partnership with Finance and BI teams
- →Enforce data contracts and schema governance with CI/CD tests to block breaking changes
- →Drive observability and data quality standards through automated monitoring and alerting
- →Build the bridge between data and compliance for SOX readiness and audit evidence
- →Mentor and set technical direction for the broader data organization
- →Partner cross-functionally with data engineering, BI, and Finance teams
Requirements
- ✓9+ years in data engineering, analytics engineering, or related roles
- ✓Deep experience modeling data in dbt, Snowflake, or similar modern stacks
- ✓Proven ownership of an enterprise-scale data model or semantic layer
- ✓Advanced SQL and dbt skills with experience in CI/CD and Git-based workflows
- ✓Experience defining and enforcing data contracts, quality tests, and governance standards
- ✓Familiarity with SOX controls, audit evidence, or IPE lineage
- ✓Strong communication skills to translate between engineering, finance, and compliance stakeholders
- ✓Comfortable working in precision-focused environments where data trust is mission-critical
