Distinguished Engineer - Distinguished Engineer, Data Foundation

What you'll do

• Set multi-year technical strategy and standards for data and semantic infrastructure across the company.
• Architect data ingestion, storage, processing, governance, and semantic services that support products and AI experiences.
• Resolve cross-organizational technical challenges, partner with business and engineering leaders, and mentor senior engineers.

What they ask for

• 15+ years building large-scale data platforms, including systems operating at tens-of-millions-user and petabyte-class scale under strict regulatory requirements.
• Hands-on expertise with modern data platforms, streaming, orchestration, governance, and cloud data services.
• Experience designing semantic or knowledge layers and connecting them to product or AI outcomes.
• Company-scale technical leadership, fluency in data privacy and governance, and understanding of how governed data supports RAG, agentic workflows, and LLMs.

Nice to have

• Experience in fintech, tax, accounting, or another regulated data-intensive domain.
• Prior ownership of a company-wide data platform or semantic/metrics layer; contributions to open source, standards, research, or patents are also noted.

Pay

Mountain View: USD 273,000 - USD 369,500 base salary

Tools

Spark, Kafka, Spark Streaming, Pulsar, AWS, GCP, RAG, LLM

AI focus

Build semantic, metadata, and context infrastructure that enables GenOS and other AI systems and agents to reason over governed data; the posting also calls for agentic-interface design and deep-learning experience with large or sparse data.