Base Salary
$273k - $370k/yr
Responsibilities
- Define and evangelize Intuit’s multi-year technical strategy for data platforms and semantic infrastructure.
- Architect company-wide ingestion, streaming, storage, processing, governance, cataloging, lineage, quality, observability, and privacy-by-design capabilities.
- Design semantic infrastructure including canonical entities, metric definitions, ontologies, knowledge graphs, and AI context and retrieval services.
- Resolve difficult cross-team and cross-platform technical problems and personally prototype or code where appropriate.
- Set technical standards, reference architectures, and build-versus-buy decisions, and lead architecture reviews.
- Partner with product, design, data science, AI/ML, privacy/legal, and engineering leaders to translate business and regulatory requirements into technical designs.
- Mentor Staff and Principal engineers and help shape technical career ladders and craft-skill expectations.
- Anticipate future scale, regulatory, and AI-workload challenges and drive roadmaps to address them.
- Represent Intuit’s data and AI infrastructure strategy with executives, external technical communities, standards bodies, and conferences.
Requirements
- 15+ years of experience building large-scale data platforms at tens-of-millions-of-users and petabyte-class scale.
- Deep hands-on expertise with distributed storage and compute, streaming, orchestration, data governance, lineage and catalog tooling, and AWS or GCP data services.
- Experience designing semantic or knowledge layers such as metrics layers, ontologies, knowledge graphs, master/entity data management, or ML/LLM retrieval infrastructure.
- Prior company-scale technical leadership as a Distinguished Engineer, Fellow, Principal Architect, or equivalent, with standards or architecture artifacts that influenced a large engineering organization.
- Fluency in data privacy and governance requirements such as GDPR- and CCPA-class regulations and their architectural implications.
- Strong understanding of RAG, agentic workflows, LLM context construction, and governed semantic layers for AI systems.
- Experience designing agentic interfaces, governing large knowledge bases, and applying deep learning to large or sparse data problems.
- Experience designing and building distributed data and query systems with runtime optimizations.
- Exceptional written and verbal communication across engineering and executive audiences.
- Preferred: experience in fintech, tax, accounting, or another regulated data-intensive domain.
- Preferred: ownership of a company-wide data platform or semantic/metrics layer used by multiple business units.
- Preferred: contributions to open-source data infrastructure, industry standards, published research, or patents.
- Preferred: experience building metadata and context infrastructure for production generative-AI or agentic platforms.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- May be eligible for cash bonus, equity rewards, and benefits under applicable plans and programs.
- Expected base pay range is Mountain View $273,000-$369,500.
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.