Sr. Counsel, Commercial (Healthcare & Life Sciences)

GAQ327R248

About the Role

Databricks is looking for an experienced commercial attorney to join our Commercial Legal team, with a primary focus on supporting our Healthcare and Life Sciences (HLS) sales teams.

Our HLS customers - health systems, pharmaceutical and biotechnology companies, medical device and diagnostics companies, payers and health services companies, healthcare technology and data companies, and clinical research organizations - bring some of the most complex and interesting legal work on the commercial team. The customers on the other side of the table are sophisticated and heavily regulated, with specific compliance, privacy, and security requirements that need to be understood and addressed.

You'll work side-by-side with Sales to lead negotiations, shape deal strategy, and address the issues that matter most to regulated customers - from HIPAA and data privacy to AI terms and security requirements. The role requires strong commercial judgment, the ability to build trust with sales teams and customers alike, and a practical approach to risk. You'll also have a front-row seat to how AI is transforming legal work. Our team is actively building and using AI-powered tools for contract review, research, drafting, and knowledge management, and you'll be part of shaping what that looks like. 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 and privacy terms, as well as order forms, statements of work, and related transaction documents

Negotiate healthcare-specific agreements and provisions, including business associate agreements, healthcare data privacy and security terms, and regulatory compliance requirements

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 with regulated customers, including data privacy, information security, artificial intelligence, intellectual property, open source software, and healthcare-specific regulatory requirements

Help improve templates, playbooks, fallback positions, guidance, and contracting processes - including building institutional knowledge on HLS-specific deal patterns

Leverage AI tools to work more efficiently and contribute to the team's adoption of AI-assisted legal workflows

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

Experience supporting customers in healthcare, life sciences, or other heavily regulated industries, with a working knowledge of HIPAA and experience negotiating or advising on business associate agreements and healthcare data privacy requirements

Strong familiarity with issues that commonly arise in commercial technology deals, including data privacy, information security, intellectual property, and open source software

Experience advising on AI-related contract terms, data use provisions, and emerging technology issues in enterprise transactions, and a demonstrated interest in using AI tools to improve the efficiency and quality of legal work

Demonstrated ability to independently manage sophisticated negotiations, exercise sound judgment, and translate legal and business risk into practical advice

Strong communication and prioritization skills, and the ability to manage multiple matters effectively

Experience supporting cloud, infrastructure, platform, or other technology companies 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.BenefitsAt 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.