Senior Engineering Manager - Enzyme
Lead the Materialized Views engineering team to build next-generation features for Databricks Lakeflow platform.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 22 hours ago
Skills & Technologies
Role intensity
10% coding — mostly leadership/strategy
Requirements
- Experience
- 5+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Engineering Manager will lead a team focused on developing next-generation Materialized View features for Databricks' Lakeflow platform, enhancing ETL workloads and query performance. The position requires extensive experience in managing engineering teams and a strong background in data infrastructure systems, particularly with technologies like Apache Spark. This role is ideal for seasoned leaders who are passionate about database and distributed systems and have a track record of building high-quality, reliable infrastructure services. Databricks emphasizes a collaborative culture, making it a fitting environment for those who thrive in complex technical domains.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 12, 2026. Last confirmed on Databricks's careers page October 7, 2026.
- Salary band is above the typical range for Management roles (median ~$170,000).
- Starts above 60% of 10 comparable senior management roles in United States that list distributed systems we track (median $222,640 across 9 companies). See distributed systems salary trends
- distributed systems appears in 1.2% of 926 comparable senior management roles in United States; Apache Spark appears in 0.3% of 926 comparable senior management roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $228,600–$317,233 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Engineering Manager - Enzyme role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Apache Spark, Data Infrastructure, distributed systems.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Engineering Manager - Enzyme role at Databricks.
From the original posting
P-1110
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.
We are the Lakeflow Engineering team, responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion. 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 Engineering 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.
The main responsibilities include:
- You will lead an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform.
-
You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.
-
You will build processes to implement product vision and strategy, according to organizational goals and priorities.
-
You will build software that is not just high quality but easy to operate.
What we look for:
- Minimum 3 years of experience in managing top-tier engineering teams
- 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals.
- A passion for database systems, storage systems, distributed systems, or performance optimization
- Experience working with product management, and directly with customers; ability to understand customer needs.
- Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
- Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.