Enable scalable support for LLMs, RAG pipelines, and intelligence workflows
Own Data as a Product
Establish a data-as-a-product operating model, enabling discoverable, reusable, and well-governed data assets
Define and standardize data contracts, ownership models, and domain boundaries
Translate platform capabilities into customer-facing data products and differentiators
Lead Platform Rationalization and Evolution
Rationalize and evolve the current ecosystem into a cohesive and cost-efficient architecture
Lead phased, low-risk migrations and consolidations aligned to business priorities
Balance short-term pragmatism with long-term architectural integrity
Own Performance, Reliability, and Cost Economics
Accountable for performance, scalability, and reliability of all data systems
Establish clear unit economics for data (e.g., cost per query, cost per workload, storage efficiency)
Implement strong observability, SLOs, and incident management practices
Requirements
10+ years of experience in data platforms, data engineering, or distributed systems
Strong background working within multi-cloud or hybrid environments, including hands-on experience with Google Cloud Platform (GCP)
Proven experience designing and evolving large-scale data platforms through major architectural transitions (e.g., warehouse, search, Lakehouse, or multi-cloud transformations)
Deep expertise across multiple data paradigms, including:
Analytical warehouses
Search/index systems
Object storage and distributed data systems
Experience building platforms that support AI, ML, or agent-driven systems
Familiarity with vector search, retrieval architectures, and modern AI data patterns
Experience with graph-based data models, entity resolution, or knowledge graphs
Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.
Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred.
Bachelor’s degree in Computer Science, Engineering, or a related technical field required. Master’s degree or PhD preferred.