Req ID GAQ424R83

Candidates should be located in Denver, Seattle, or Washington DC

Databricks is looking for an experienced attorney to join Databricks commercial legal team. As Commercial Counsel you will join the rapidly growing legal team reporting to the Director & Associate General Counsel, Legal. You will provide legal support for Databricks' U.S. commercial business, including negotiating commercial contracts and solving issues relating to security and privacy, in addition to providing general legal support to Databricks as an integrated part of the Databricks global legal team.

The impact you will have:

• Draft and negotiate complex, non-standard agreements governing innovative products and addressing cutting edge legal issues
• Advise commercial sales teams on deal process and contract management
• Understand SaaS, product, data security, and privacy process issues to guide the sales team during negotiations, and in many other contexts
• Help with standardization of documentation across multiple jurisdictions
• Understand Databricks' internal structures, product offerings, technology, security/data protection systems and policies to give you a foundation for providing support across all lines of business
• Provide general legal support

What we look for:

• Attorney with 5+ years of relevant experience with a law firm and/or in-house within the tech sector
• Understanding of cloud services, technology and professional services contracts
• High-level negotiation and legal drafting skills
• Solid knowledge of business process gained in-house relating to commercial, contract, intellectual property, and data privacy law
• Experience managing workload in a high-pressure environment with competing demands
• A desire to be part of a dynamic legal team supporting the recognized leader in processing big data in the cloud

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)

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.

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.