Databricks

Staff Software Engineer, Lakeflow Pipelines DR

Databricks πŸ“ California, USA 🏒 On-site Posted Sep 11, 2026 via Databricks careers
full-time πŸ“‚ Software Development 🏒 On-site 🏭 Technology

✨ Job Highlights

  • β˜…Pay: $192,000 to $260,000 a year
  • β˜…On-site: California
  • β˜…Full-time role in software development
  • β˜…Experience asked for: 8+ years
  • β˜…Education: PhD or doctorate
  • β˜…Apply directly on Databricks's careers site
  • β˜…Posted September 11, 2026

Full Job Description

Staff Software Engineer, Lakeflow Pipelines DR job at Databricks in California

Databricks is hiring a Staff Software Engineer, Lakeflow Pipelines DR in California. This is full-time work at Databricks's location. Databricks lists pay of $192,000 to $260,000 a year.

Here is the role as Databricks describes it.

RDQ427R70

Our mission at Databricks is to radically simplify the data lifecycle with a unified Lakehouse platform for data engineering, analytics, and AI. The Lakehouse addresses major challenges in enterprise data platforms, including reliability, data staleness, operational complexity, total cost of ownership, and data lock-in. Learn more about the Lakehouse architecture.

Lakeflow is a critical part of this vision, helping customers build and operate streaming and batch ETL pipelines that power business-critical data products. As these workloads become increasingly mission-critical, customers need them to continue operating through infrastructure failures and cloud-region outages.

As a Staff Engineer on the part of the Lakeflow Disaster Recovery team, you will design and implement distributed systems that replicate and recover pipelines across regions. A pipeline is more than source code and output tables: it includes streaming checkpoints, source offsets, stateful operator state, table versions, transaction metadata, schedules, and dependencies across a dataflow graph. You will solve challenging problems involving consistency, idempotency, causal ordering, failover, failback, and safe recovery without silent data loss or duplication.

You will work in one or more of the following areas:

  • Cross-region replication and recovery for Lakeflow pipelines, streaming tables, and materialized views
  • Distributed consistency across pipeline dependencies, table versions, and transaction logs
  • Failover and failback workflows with conservative correctness guardrails
  • Deep clone, metadata reconciliation, observability, and failure-injection testing
  • High-fidelity recovery simulations, game-day testing, and formal reasoning about failure modes
  • What we look for:

  • A passion for distributed systems, databases, storage systems, streaming systems, or reliability engineering
  • Strong software engineering skills in Java, Scala, C++, Go, Python, or a similar production language
  • Understanding of consistency, transactions, idempotency, replication, checkpointing, and data lineage
  • Ability to define and work toward a multi-year technical vision with incremental, production-quality deliverables
  • 8+ years of experience working on related systems preferred
  • Optional: PhD or advanced research experience in databases, distributed systems, or storage
  • This role offers the opportunity to build the foundations of resilient Lakehouse computing and help customers keep their data pipelines running when failure matters most.

    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 $192,000 to $260,000 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.

    Common questions

    What is the salary for the Staff Software Engineer, Lakeflow Pipelines DR role at Databricks?

    Databricks advertises $192,000 to $260,000 a year for this role.

    Is this a remote, hybrid or office job?

    No, it is an on-site job in California.

    What experience do I need for this Staff Software Engineer, Lakeflow Pipelines DR job?

    The posting mentions at least 8 years of relevant experience, a phd or doctorate or equivalent and skills such as Python, Java, Go and C++. Read the full description above for the complete list.

    How do I apply?

    Use the apply button on this page. It takes you to Databricks's own application form, so your CV goes directly to their hiring team.

    When was this job posted?

    Databricks published the role on September 11, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.

    Source: Databricks careers page (databricks.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.

    Required Skills

    Python Java Go C++ Scala

    🏒 About Databricks

    Databricks publishes its open roles on its own careers board. This page collects the Databricks jobs that are live right now. Each listing links to Databricks' application form, and we remove a listing once the employer closes it.

    Industry: Technology

    View Company Profile β†’
    $192,000 - $260,000 / yearly

    Yearly salary

    Apply on Company Site β†—
    🏒 Company Databricks
    πŸ“ Location California, USA
    πŸ’Ό Job Type full-time
    🌐 Work Mode 🏒 On-site
    🏭 Industry Technology
    πŸ—“ Posted Date Sep 11, 2026
    πŸ”— Via Databricks careers
    🎯 Experience 8+ years
    πŸŽ“ Education PhD or doctorate
    πŸ“… Deadline Dec 14, 2034

    About the Company

    Databricks publishes its open roles on its own careers board. This page collects the Databricks jobs that are live right…

    View Company β†’