Job Title: Senior Staff Software Engineer - Enzyme
Location: Seattle, Washington
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P-1183
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:
The Impact you will have:
What We’re Looking For:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
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.
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If you're an experienced coder with a passion for tackling complex challenges, Databricks has the perfect opportunity for you as a Senior Staff Software Engineer - Enzyme in Seattle, Washington. Here at Databricks, we are driven by our mission to enable data teams to solve the world's toughest problems, from revolutionizing transportation to speeding up medical breakthroughs. As part of our Lakeflow Engineering team, you will take the lead on our Materialized Views engineering section, where you'll be designing and implementing next-gen systems that enhance ETL product lines, including features that significantly boost query performance and optimize data management. With your extensive experience—15+ years in building large-scale distributed systems—you will create scalable and fault-tolerant architectures, helping us maintain our position as a leader in the industry. You'll delve into challenging areas like query optimization and resource management, contributing to the ongoing evolution of systems that process exabytes of data daily. Collaborating with various teams, you will take ownership of innovative projects while introducing tools to improve automation. If you're motivated by delivering impactful solutions and have a solid foundation in algorithms and data structures, we'd love to hear from you. So, if you're ready to make a difference at Databricks, apply today and be part of a team that's shaping the future of data and AI.
Databricks, the data and AI company, helps data teams solve the world’s toughest problems.
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