Related skills
snowflake sql python databricks dbtπ Description
- Design and build data models for regulatory reporting with entity-level granularity.
- Build and maintain data quality checks, validation and data contracts.
- Write specs for AI tools to generate pipelines and answer regulatory questions.
- Standardize regulatory metrics into durable, machine-readable formats.
- Partner with Compliance, Legal, and Business Ops to translate requirements into data models.
- Shift from manual data requests to automated, self-serve pipelines.
π― Requirements
- Think in systems; design scalable data infrastructures.
- AI-first collaborator; design data, metadata, and docs for agents.
- Learn fast; turn tribal knowledge into durable infrastructure.
- Value accuracy; implement data contracts, validation, quality checks.
- Strong fundamentals: SQL, Python, data modeling, dbt, Airflow.
- Operate independently and drive initiatives without micromanagement.
π Benefits
- In-person participation required throughout the year.
- Regular team and company-wide offsites.
- Remote-first culture; not remote-only, hybrid options.
- Equity and bonus eligibility; medical, dental, vision benefits.
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