Senior Staff Software Engineer - Enzyme

Databricks; Mountain View (CA); On-site; USD 235,000 - 295,000; Full time

Benefits offered by this job

Annual performance bonus

Equity options

Comprehensive benefits package

Job summary

A leading data and AI company is looking for a Senior Staff Software Engineer in Mountain View, California. You will lead the Materialized Views engineering team, optimizing large-scale systems. Ideal candidates have over 15 years of experience in distributed systems and a strong foundation in algorithms. This role offers a competitive salary within the range of $235,000—$295,000 and involves a full-time commitment.

Qualifications

• 15+ years industry experience building and supporting large-scale distributed systems.
• A passion for database systems and performance optimization.
• Strong foundation in algorithms and data structures.

Responsibilities

• Build architecture design and influence product roadmap.
• Solve real business needs at large scale through engineering.
• Plan and lead complicated technical projects.

Skills

Large-scale distributed systems

Database systems

Performance optimization

Data structures

Algorithms

Education

BS/MS/PhD in Computer Science or related major

Job description

Job Title

Senior Staff Software Engineer - Enzyme

Location

Mountain View, California

Reference

P-1183

Role Summary

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.

Technical Focus Areas

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

Impact

• 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.

Qualifications

• 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.

Compensation

Pay range for this role is $235,000—$295,000 USD (location based).

Databricks is committed to fair and equitable compensation practices. The total compensation package may include eligibility for an annual performance bonus, equity, and the benefits listed above.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

Seniorities & Employment

Mid‑Senior level

Full‑time

Engineering and Information Technology – Software Development