Synced from Greenhouse · Jul 1

Counsel, Commercial

DatabricksBellevue, Washington; Chicago, Illinois; Denver, Colorado; Mountain View, California; New York City, New York; San Francisco, California; Seattle, Washington; Washington, D.C.Posted Jul 1, 2026
Legal CounselSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$220k–$302k
Compensation
870
Other open Databricks roles
Jul 1
Posted
Greenhouse
Applicant system
Job descriptionReq 8570007002

GAQ327R204

About the Role

Databricks is looking for an experienced attorney to join our Commercial Legal team.

This role supports Databricks' sales organization on complex SaaS and other commercial transactions with sophisticated enterprise customers, including customers in regulated industries. You will independently lead negotiations, advise on deal strategy, and work as part of a collaborative team supporting Databricks' data and AI business. The role is well-suited for an attorney who exercises strong judgment and translates legal complexity into clear, practical advice for business stakeholders. This position reports to the Senior Director & Associate General Counsel, Commercial.

The impact you will have:

  • Lead complex commercial transactions from first engagement through signature, including drafting and negotiating SaaS MSAs and related security, privacy, and AI terms, as well as order forms, statements of work, and related transaction documents
  • Partner closely with Sales, Deal Desk, Finance, Security, Privacy, Product, and other stakeholders to resolve issues that affect deal execution
  • Advise on issues that arise in enterprise technology transactions, including data privacy, information security, artificial intelligence, intellectual property, and open source software
  • Help improve templates, fallback positions, guidance, and contracting processes
  • Provide concise, practical legal advice that balances legal risk with commercial objectives

What we look for:

  • 7+ years of relevant technology transactions experience at a law firm and/or in-house legal department
  • Significant experience drafting, negotiating, and closing complex sell-side software, SaaS, and cloud transactions with enterprise customers
  • Strong familiarity with issues that commonly arise in commercial technology deals, including data privacy, information security, AI-related terms, intellectual property, and open source software
  • Demonstrated ability to independently manage sophisticated negotiations, exercise sound judgment, and translate legal and business risk into practical advice
  • Experience supporting cloud, infrastructure, platform, or other technology companies
  • Strong communication and prioritization skills, and the ability to manage multiple matters effectively
  • Experience supporting enterprise customers, including in regulated industries, is preferred
  • Juris Doctor and active bar membership in good standing in at least one U.S. jurisdiction

 

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.

 

Zone 1 Pay Range
$219,800$302,300 USD

 

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.

 

Zone 2 Pay Range
$197,800$272,050 USD

 

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.

 

Zone 3 Pay Range
$186,900$256,950 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Counsel, Commercial
Databricks · Bellevue, Washington; Chicago, Illinois; Denver, Colorado; Mountain View, California; New York City, New York; San Francisco, California; Seattle, Washington; Washington, D.C.
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