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DatabricksDatabricksMountain View, CA

Senior Staff Software Engineer - Lakeflow Pipelines Datasets

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).

Skills

Distributed SystemsStreaming SystemsDatabase InternalsStorage SystemsPerformance EngineeringDeclarative Dataflow ProcessingResource ManagementStream ProcessingAutonomic ComputingSpark
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