Related skills
snowflake sql python databricks dbtπ Description
- Design data models for regulatory reporting with entity-level granularity.
- Build data quality checks, contracts, and monitoring; reconcile with prior submissions.
- Write specs for AI tools to generate pipelines and answer regulatory questions.
- Standardize regulatory metrics and historical decisions into durable formats.
- Partner with Compliance, Legal, and Business Ops to translate requirements into data models.
- Coordinate with upstream Eng to ensure accurate source data contracts.
- Move toward automated, self-serve regulatory reporting and AI workflows.
π― Requirements
- Think in systems; replace manual steps with durable solutions.
- AI as collaborator; design data, metadata, and docs for agents.
- Learn fast; turn tribal knowledge into durable infrastructure.
- Value accuracy; use data contracts and validation checks.
- Advanced SQL, Python, data modeling, dbt, Airflow, Snowflake/Databricks.
- Operate independently; drive work without direction.
π Benefits
- Remote-first culture; in-person participation required.
- Team offsites multiple times a year.
- Opportunity to work on AI-driven data tooling at scale.
- Equal opportunity employer; accommodations available.
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