- Build data applications end to end using AI, from data models and infrastructure through to APIs and user interfaces.
- Turn data into internal tools, APIs, and self-service products for teams across the business.
- Work across Databricks workspaces, dbt projects, and data pipelines.
- Help shape technical direction across application architecture, APIs, data modelling, testing, security, and performance.
- Review AI-generated code, identify weaknesses, and turn recurring issues into automated checks and guardrails.
- Improve codebases and workflows so engineers and coding agents can work more effectively.
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