Senior Business Intelligence Engineer
Senior BI Engineer owns end-to-end data products, semantic layers, and dashboards that power decisions across Engineering, Product, Finance, Marketing, and Operations. Requires deep SQL and modern data stack expertise plus proven experience integrating AI tools into daily workflows.
About the job
Responsibilities
- Design, build, and maintain scalable data models, semantic layers, and data visualizations that serve business-critical reporting needs
- Partner with stakeholders across Engineering, Product, Finance, Marketing, and Operations to understand data requirements and translate them into reliable data solutions
- Own data quality, documentation, and governance practices for BI assets — ensuring dashboards and models are accurate, trustworthy, and maintainable
- Build and maintain dbt models to support consistent, reusable data definitions
- Leverage AI-assisted development tools to accelerate model development, dashboard scaffolding, and documentation — treating AI as a productivity multiplier while owning the analytical design and validation
- Develop and enforce best practices for data model development, such as naming conventions and testing standards
- Identify and resolve performance bottlenecks in queries, pipelines, and reporting layers
- Enable self-serve analytics by building machine-legible, intuitive data products that reduce ad hoc request volume
- Use data to surface insights proactively — not just respond to requests, but identify gaps and opportunities in the business
- Continuously evaluate and adopt emerging AI tooling to improve team velocity — contribute to defining how the BI team integrates AI into its standard workflows
- Contribute to the broader data team's roadmap, tooling decisions, and infrastructure
Requirements
- Demonstrated experience designing and delivering production-grade solutions in a complex, high-scale data environment
- Deep proficiency in SQL and data modeling — ability to read, validate, and direct complex queries
- Experience with a modern data stack (e.g. Snowflake/Databricks, dbt, Sigma/Looker, etc.)
- Strong ability to work directly with stakeholders — translating ambiguous business questions into clear, scoped data solutions
- Track record of building data products that are adopted and trusted by non-technical users
- Demonstrated experience building with AI tools (Claude, Codex, Copilot, Cursor, or similar) — active integration into daily analytical and engineering workflows
Nice to Have
- Experience in fintech, payments, lending, or regulated financial environments
- Familiarity with data orchestration tools (e.g., Airflow)
- Experience building or scaling BI infrastructure in a high-growth startup environment
- Experience defining or implementing AI-augmented analytics workflows at a team level
- Familiarity with agentic AI patterns (MCP, tool-use, context management) and how they apply to data workflows
- Exposure to Python or other scripting languages for data transformation or automation
- Track record of establishing BI governance or data quality frameworks from the ground up
Compensation & Benefits
- Competitive compensation and equity packages
- Leading configured work computers of your choice
- Flexible paid time off
- Fully covered, high-quality healthcare, including fully covered dependent coverage
- Additional health coverage includes access to One Medical and the option to enroll in an FSA
- 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
- Access to industry-leading technology across all of our business units
Skills
SQL, dbt, Snowflake, Databricks, Looker, Sigma, Airflow, Python, Data Modeling, Data Governance
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