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HomeCompaniesDatabricksSenior Staff Software Engineer - Enzyme

Senior Staff Software Engineer - Enzyme

Databricks · Mountain View, California · Active · $235,000–$295,000 / year · Greenhouse

Job facts

FieldValue
CompanyDatabricks
TitleSenior Staff Software Engineer - Enzyme
Normalized title-
Department / teamExecutive Engineering - Pipeline
LocationMountain View, CA, United States
Work model-
Employment type-
Salary$235,000–$295,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2025-03-28 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Databricks.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Mountain View.Open
Department jobsActive postings in Executive Engineering - Pipeline.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDatabricks
Sourcee76d888a-29e0-42cd-bf7d-e9482c0e5b5f
ATS providerGreenhouse

Description

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California --------------------------------- 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: 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. What We’re Looking For: 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 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 . Local Pay Range $235,000 — $295,000 USD 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 click here . 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.

Full job record

Job ID4e4cb83075a2e17f3565aa2face29c1462bf9600
Org ID35d19e0b-26e9-43f3-ace9-4c7841dbe8ae
Source IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Board IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Providergreenhouse
Provider Job Key7934466002
TitleSenior Staff Software Engineer - Enzyme
Normalized Title
Statusactive
Activeyes
Location TextMountain View, California
DepartmentExecutive Engineering - Pipeline
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CityMountain View
Salary RawPay Range $235,000 — $295,000 USD About Databricks Databricks is the data and AI company
Salary Min235,000
Salary Max295,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=7934466002
Apply URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=7934466002
First Seen At2026-05-29 22:42:59Z
Last Seen At2026-06-06 07:35:41Z
Last Checked At2026-06-06 07:35:41Z
Last Changed At2026-05-29 22:42:59Z
Inactive At
Source Posted At2025-03-28 19:03:19Z
Source Updated At2026-04-09 20:51:10Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=databricks/date=2026-06-06/2026-06-06T07-35-40-531Z-fb10084c965d4be1acb89ee334f202053cf0441b79f8cd34184484b9ba265f24.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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  "salary_min": 235000,
  "inferred_at": "2026-06-06T07:35:41.620Z",
  "launch_scope": {
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  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "metadata": [
    {
      "id": 9740521002,
      "name": "Company Assignment",
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      "value_type": "single_select"
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    {
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      "name": "Career Page Posting Category",
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  "updated_at": "2026-04-09T16:51:10-04:00",
  "departments": [
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      "name": "Executive Engineering - Pipeline",
      "child_ids": [],
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  "company_name": "Databricks",
  "requisition_id": 5982071002,
  "first_published": "2025-03-28T15:03:19-04:00",
  "application_deadline": null
}
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