A prioritized inventory of all ICS pipelines, tables, and data products (migrate/deprecate)
Full pipeline migration to FGAC-compliant patterns (DevPortal machine roles, paved paths, Spark access)
AWS and DevPortal configuration with compliance tags and table-level permissions
PII encryption at the staging layer with downstream consumer coordination
Dashboard and Athena user role migration to the new catalog
Leveraging AI Tools:
We expect contractors to be or become proficient in leveraging AI-native tools—specifically Cursor and Claude Code—to automate solution development, data analysis, and generate artifacts such as migration tracking plans.
Internal Intuit AI tools, such as MCP (Model Context Protocol), will also be leveraged by the contractor in support of the FGAC project. For example, the SuperGlue team is building an AI-driven automated pipeline code migration capability from legacy pipelines to SuperGlue V2 clean data flows.
This AI-assisted process still requires human participation to:
Trigger pipeline migrations
Verify and QA results
Make minor code adjustments
AI solutions are not expected to be 100% autonomous at this time.
Ideal Contractor Profile:
2–4 years of AWS experience, including:
IAM
S3
Athena
Glue
Hands-on Spark or SuperGlue experience
Familiarity with:
Data governance
Access control
Compliance frameworks
Ability to execute structured migration tasks with minimal supervision