Databricks

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

Databricks$182K — $247K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in designing and managing large-scale distributed systems
  • Proven technical leader influencing architecture and direction
  • Hands-on experience writing production code for distributed services
  • Experience with reliability-critical operations including on-call duties
  • Ability to balance short-term delivery needs with long-term goals
  • Strong stakeholder alignment skills
  • BS (or higher) in Computer Science or related field

Responsibilities

  • Set the technical direction for the Lakebase Manager team
  • Drive architecture, design, and coding on complex projects
  • Maintain high technical standards through reviews and engineering culture
  • Mentor engineers to enhance their skills in distributed systems
  • Define and achieve SLI/SLO targets for long-term reliability
  • Oversee cross-team initiatives and manage dependencies
  • Collaborate with leadership to develop a long-term technical roadmap

Benefits

  • Comprehensive healthcare coverage
  • Flexible working arrangements
  • Professional development and training opportunities
  • Wellness programs and initiatives
  • Employee equity options
Full Job Description
P-988

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

BenefitsAt 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.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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