Staff Software Engineer, Lakeflow Pipelines DR
Design and implement distributed systems for Lakeflow pipelines to ensure resilience during infrastructure failures.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 2 hours ago
Skills & Technologies
What you'll build
- Design distributed systems for pipeline replication
- Implement recovery mechanisms across regions
- Work on cross-region replication for Lakeflow pipelines
- Develop workflows for failover and failback
- Conduct high-fidelity recovery simulations
Must have
- Strong software engineering skills in Java, Scala, C++, Go, Python
- Understanding of consistency, transactions, idempotency
- Ability to define multi-year technical vision
- 8+ years of experience working on related systems
Nice to have
- PhD or advanced research experience in databases
- Experience with streaming tables and materialized views
Requirements
- Experience
- 8+ years
- Education
- PhD
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Staff Software Engineer on the Lakeflow Disaster Recovery team, the individual will focus on designing and implementing distributed systems that ensure the reliability of ETL pipelines across various regions. Key skills include strong software engineering capabilities in languages like Java or Python, along with a solid understanding of distributed systems concepts such as consistency and replication. This position is best suited for seasoned engineers with over eight years of experience in related fields, particularly those with a background in databases or reliability engineering. The team is integral to building resilient Lakehouse computing foundations, emphasizing the imp
Joblaze insights
- Listed yesterday on Joblaze — tracked directly from Databricks's career page.
- Databricks has 922 other open roles including Lead Learning Product Manager, Senior Scale Solution Engineer, Scale Solution Engineer.
- 6536 active Python roles on Joblaze right now.
- 1978 active Go roles on Joblaze right now.
- 1660 active C++ roles on Joblaze right now.
- Salary band is in line with the typical range for Backend roles (median ~$180,000).
- Pays more than 75% of the 3233 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- What's the salary range?
- Databricks lists $192,000–$260,000 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Staff Software Engineer, Lakeflow Pipelines DR role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Go, Java, Python, Reliability Engineering, Scala.
- What seniority level is this role?
- Databricks targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Software Engineer, Lakeflow Pipelines DR role at Databricks.
From the original posting
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.
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.