Leads technical architecture and engineering for Lakeflow Pipelines Datasets platform, owning long-term direction for declarative pipelines, materialized views, and data infrastructure at exabyte scale. Requires 10+ years in large-scale distributed systems with deep expertise in databases, storage, or streaming.
229k – 314k/yr
On-site10+ YOEBackend Engineering
About the role
Responsibilities
Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers.
Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale.
Bridge the gap between research and production by bringing ideas from the academic literature or internal R&D into systems that solve real customer problems.
Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization that moves the needle on cost and latency.
Shape product direction alongside engineering and product leadership, owning technical strategy from design through delivery.
Drive complex, multi-team technical initiatives that require sustained coordination and clear technical judgment.
Requirements
10+ years of experience building, operating, and evolving large-scale distributed systems in production.
Deep expertise in one or more of: database internals, storage systems, distributed computing, streaming systems, language/API design, or performance engineering.
Track record of executing against a multi-year technical vision through well-sequenced incremental milestones.
Strong algorithmic foundations with the practical judgment to know when they matter and when simpler solutions win.
A bias toward customer impact over technical novelty for its own sake.
Experience building alignment across teams and driving initiatives from conception through customer adoption.
BS, MS, or PhD in Computer Science or a related field (or equivalent depth of experience).
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