About the role
As Data Engineer in an AI Development pod you make sure each workflow's AI solutions, including models, analytics and AI agents, have the right data, in the right shape, at the right time. You work on the specific data each workflow needs, building on the shared platform from the AI Infrastructure team.
What you'll do
- Map the data each workflow uses today, including systems, files, emails and spreadsheets, and design how AI solutions will get it.
- Build the workflow-specific pipelines, integrations and data models that AI solutions need, using Snowflake and the shared AI platform.
- Turn unstructured inputs such as statements, subscription documents and Excel workbooks into structured data that models and agents can use.
- Set up data quality checks so AI solutions work from accurate, complete data, and fix data issues found during testing.
- Contribute workflow data back to the shared platform so the next workflow can reuse it.
