Staff Software Engineer, Lakeflow Pipelines DR

United States Digital Space LLC; Mountain View (CA); On-site; USD 192,000 - 260,000; Full time

Job summary

the company in Mountain View, CA is seeking a Staff Engineer for the Lakeflow Disaster Recovery team. You will design distributed systems that replicate and recover pipelines across regions, addressing state, checkpoints, and metadata to prevent data loss or duplication.

You will tackle cross-region replication, distributed consistency, failover workflows, and failure-injection testing to ensure resilient data pipelines.

Qualifications

• 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.

Responsibilities

• Design and implement distributed systems that replicate and recover pipelines across regions.
• Work on cross-region replication and recovery for Lakeflow pipelines, streaming tables, and materialized views.
• Develop failover and failback workflows with conservative correctness guardrails.
• Work on deep clone, metadata reconciliation, observability, and failure-injection testing.
• Contribute to high-fidelity recovery simulations, game-day testing, and formal reasoning about failure modes.

Skills

Distributed systems

Java

Scala

C++

Go

Python

8+ years experience

Education

PhD or advanced research experience in databases, distributed systems, or storage

Job description

RDQ427R70

Our mission at the company 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

the company 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, the company 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—$260,000 USD

About the company

the company 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 the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

**Benefits

**At the company, 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 the company, 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 the company 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.

ComplianceIf 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.