Distinguished Engineer - Distinguished Engineer, Data Foundation

Overview

Intuit runs on data — every Turbo Tax return, every Quick Books ledger, every Credit Karma recommendation, and every Mailchimp campaign draws on a common substrate of pipelines, stores, and governance that has to be fast, trustworthy, and compliant at the scale of tens of millions of customers. Increasingly, that substrate also has to be legible to machines:
Intuit's GenOS and agentic AI experiences depend on a semantic layer that turns raw data into governed metrics, entities, and domain knowledge (tax code, accounting rules, cash-flow concepts) that models and applications can reason over.

Intuit runs on data — every Turbo Tax return, every Quick Books ledger, every Credit Karma recommendation, and every Mailchimp campaign draws on a common substrate of pipelines, stores, and governance that has to be fast, trustworthy, and compliant at the scale of tens of millions of customers. Increasingly, that substrate also has to be legible to machines:
Intuit's GenOS and agentic AI experiences depend on a semantic layer that turns raw data into governed metrics, entities, and domain knowledge (tax code, accounting rules, cash-flow concepts) that models and applications can reason over. We’re hiring a Distinguished Engineer to own the technical vision for this entire domain: the data substrate (ingestion, storage, processing, and governance across the company) and the semantic data infrastructure that sits above it (ontologies, knowledge graphs, metrics layer, entity resolution, and the metadata/context services that power AI).

This position expects you to exercise a company-wide technical authority position, not a people-management track. You'll set direction for the data spin that spans every business unit (Consumer, Small Business, Credit Karma, Mailchimp) and every layer from the lakehouse to the LLM.

• Scope of Impact
  • Company-wide, not team-wide. Your architectural decisions become the default pattern for how Intuit ingests, models, governs, and serves data — across every product line and every region Intuit operates in.
  • Two nested domains. (1) The data substrate: the core platform for data movement, storage, cataloging, quality, lineage, privacy/compliance, and observability that every downstream team builds on. (2) Semantic data infrastructure: the layer that gives that data meaning — canonical entities, business metric definitions, ontologies/knowledge graphs, and the retrieval/context infrastructure that feeds GenOS and other AI systems.
  • Executive visibility. You'll represent data and AI-infrastructure strategy in reviews with senior engineering and product executives, and act as an external technical ambassador (conferences, standards bodies, hiring, patents) when it advances Intuit's reputation and talent brand.
  • Force multiplier for the org. You'll operate through influence as much as through code — setting technical strategy that dozens of teams and hundreds of engineers execute against, and personally stepping into the hardest, highest-leverage problems.
• What You’ll Do
  • Define and evangelize the multi-year technical strategy for Intuit's data platform and semantic infrastructure, aligned to company-wide AI and data ambitions.
  • Architect the next generation of the data substrate: ingestion and streaming, lakehouse/warehouse design, data quality and observability, cataloging and lineage, and privacy-by-design controls that scale across business units.
  • Design the semantic layer that unifies how Intuit's systems and AI agents understand data — canonical entity models, metric definitions, ontologies and knowledge graphs, and the context/retrieval services that make that knowledge usable by GenOS and other agentic experiences.
  • Resolve the hardest cross-cutting…