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# Senior Staff Software Engineer - Enzyme

- **Company:** Databricks
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $235,000.0 - $295,000.0
- **Contract:** Permanent contract
- **Skills:** Databases, Information Engineering, Extract Transform Load (ETL), Software Debugging, Distributed Systems, Fault Tolerance, Performance Tuning, Query Optimization, Software Engineering, Data Streaming, Information Technology, Databricks
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=53e86f70ac3c1d4c

## About the Role

Do you have experience in Tooling?, Do you have a Bachelor's degree?, * 15+ years industry experience building and supporting large-scale distributed systems.

 * A passion for database systems, storage systems, distributed systems, language design, or performance optimization
 * Experience working towards a multi-year vision with incremental deliverables
 * Motivated by delivering customer value and impact.
 * Strong foundation in algorithms and data structures and their real-world use cases.
 * Experience driving company initiatives towards customer satisfaction.
 * BS/MS/PhD in Computer Science or related majors, or equivalent experience.

Pay Range Transparency

## Description

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.

The Lakeflow Engineering team here at Databricks is responsible for the entirety of the ETL product line. This includes products such as Materialized Views, Structured Streaming, and Delta Live Tables. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.

We're seeking a dedicated technical leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

 * Incrementally maintaining materialized views
 * Query optimization
 * Resource management
 * Efficient storage structures
 * Automatic physical data optimization

The Impact you will have:

 * Solve real business needs at large scale by applying your software engineering.
 * Deliver a highly scalable, available, and fault-tolerant architecture for materialized views
 * Low level systems debugging, performance measurement & optimization on large production clusters.
 * Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
 * Introduce tools to allow greater automation and operability of services.
 * Use your deep experience to help prevent and investigate production issues.
 * Plan and lead complicated technical projects that work with several teams within the company.


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