Databricks

Databricks

Posted via Greenhouse

Staff Software Engineer, Technical Lead, Lakebase Manager (LBM)

Posted Aug 5, 2026

Role at a glance

Salary
$182.4K – $247K/yr
Location
Bellevue, Washington, United States Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years designing, building, and operating large-scale distributed systems
Education
BS (or higher) in Computer Science, or a related field

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Role Summary

AI-generated

The Technical Lead will be a hands-on individual contributor on Databricks' Lakebase Manager team, building and operating the central control plane for the managed Postgres transactional layer. The role owns technical direction and reliability across the Lakebase database lifecycle, including coordination with storage, compute, proxy, and console components.

What You'll Do

  • Set the technical direction for the Lakebase Manager team and own the quality and reliability of its deliverables.
  • Drive architecture and design and write production code for the hardest parts of projects.
  • Set technical standards through architecture reviews, testing, and code reviews.
  • Define SLIs, meet SLOs, and drive reliability improvements across the database lifecycle.
  • Lead cross-team initiatives across the Lakebase stack and align partner teams on dependencies.
  • Partner with engineering and product leadership to shape and deliver the long-term technical roadmap.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

8+ years designing, building, and operating large-scale distributed systems; technical leadership as an individual contributor; hands-on architecture and production coding; experience with reliability-critical, highly available services, including on-call, incident response, and HA/failover; ability to align stakeholders and balance short-term delivery with long-term stability; proficiency in Go, Rust, or a similar systems language.

Required

  • 8+ years designing, building, and operating large-scale distributed systems
  • Technical leadership as an individual contributor
  • Hands-on architecture and production coding for large-scale distributed services
  • Experience operating reliability-critical, highly available services
  • On-call, incident response, and HA/failover experience
  • Ability to align multiple stakeholders on competing priorities
  • Proficiency in Go, Rust, or a similar systems language
  • BS (or higher) in Computer Science, or a related field

Preferred

  • Experience with PostgreSQL
  • Experience with Kubernetes

Original job description

Content provided by the employer

P-988

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the key engineers building out the Lakebase product.

As the Technical Lead on the Lakebase Manager (LBM) team, you will drive, build, and operate the central control plane that owns the core logic for Lakebase: database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component (storage, compute, proxy, and console) and manages the full database lifecycle at scale, with a focus on reliability. This is a hands-on individual-contributor role: you lead the team technically and partner with the team's engineering manager, who owns people management and delivery planning. The stack is Go, Rust, PostgreSQL, and Kubernetes.

The impact you will have:

  • Set the technical direction for LBM and own the quality and reliability of what the team ships, driving execution on the hardest, highest-risk parts.
  • Drive architecture and design, and write code on the hardest parts of your team's projects.
  • Set and uphold high technical standards through architecture reviews, testing, and a culture of engineering excellence.
  • Raise the technical bar of the team: mentor engineers, drive rigorous design and code review, and grow their distributed-systems and design skills.
  • Define SLIs, meet SLOs, and drive long-term reliability improvements across the database lifecycle.
  • Lead cross-team initiatives across the Lakebase stack: align with partner teams on dependencies and unblock cross-cutting projects.
  • Partner with engineering and product leadership to shape and deliver a long-term technical roadmap.

What we look for:

  • 8+ years designing, building, and operating large-scale distributed systems, including the processes around testing, monitoring, and SLIs/SLOs.
  • A track record of technical leadership as an individual contributor: setting architecture and direction for a team's projects through influence, without formal management authority.
  • Strong hands-on depth: you still design systems and write production code, and can go deep on architecture for large-scale distributed services.
  • Experience operating reliability-critical, highly available services (on-call, incident response, HA/failover).
  • Comfortable working toward a multi-year vision with incremental deliverables, and balancing short-term delivery against long-term stability.
  • Ability to align multiple stakeholders on competing priorities.
  • Motivated by delivering customer value and impact.
  • Proficiency in Go, Rust, or a similar systems language; experience with PostgreSQL and Kubernetes is a plus.
  • BS (or higher) in Computer Science, or a related field.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Local Pay Range
$182,400$247,000 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.