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Staff Software Engineer - Ingestion

Leads development of Lakeflow Connect’s large-scale data ingestion systems, applying database internals expertise to incremental capture and log parsing. The role requires 15+ years building distributed systems, strong algorithms and data structures knowledge, and technical leadership across complex initiatives.

About the job

Responsibilities

  • Solve real business needs at large scale through software engineering.
  • Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers.
  • Perform low-level systems debugging, performance measurement, and optimization on large production clusters.
  • Design architectures, influence product roadmaps, and own new projects.
  • Use deep technical experience to help prevent and investigate production issues.
  • Plan and lead complex technical projects involving several teams.
  • Influence organizational roadmaps and direction.
  • Lead a TLG or similar review committee, or initiate and sustain engineering-wide initiatives.
  • Break down complex problems into potential solutions, knowns, and unknowns, and de-risk them through prototyping and validation.
  • Mentor engineers, lead sprint planning, delegate assignments, and participate in project planning.

Requirements

  • 15+ years of industry experience building and supporting large-scale distributed systems.
  • Experience with database replication, backup, or transaction recovery at a major database vendor such as Microsoft SQL Server, Oracle, or IBM.
  • Strong foundation in algorithms and data structures, including real-world applications.
  • Ability to work toward a multi-year vision with incremental deliverables.
  • Motivation to deliver customer value and impact.
  • Experience driving company initiatives focused on customer satisfaction.

Skills

Distributed Systems, Database Replication, Database Backup, Transaction Recovery, Algorithms, Data Structures, Incremental Data Capture, Log Parsing, Performance Optimization, Fault-Tolerant Systems

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