Synced from Greenhouse · Jul 1

Legal Counsel

DatabricksLondon, United KingdomPosted Jul 1, 2026
Legal CounselMid
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Jul 1
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Greenhouse
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Job descriptionReq 8564394002

Databricks — the global leader in data and AI — is looking for a motivated Legal Counsel to play a key role in our growing EMEA business. This is an opportunity to bring your SaaS commercial experience to a company defining the next generation of data, analytics and AI — partnering with sales teams to enable some of the world's most innovative organisations to build on the Databricks Data Intelligence Platform.

You will report to the Director & Assistant General Counsel, EMEA Commercial Legal, and will be a valued part of the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue-generating activities of Databricks, and helping the business to improve processes and scale at pace.

The impact you will have:

  • Working in partnership with the sales teams to enable some of the best known companies in the world to adopt the world's leading data and AI platform.
  • You will diligently help resolve legal issues to enable smooth and timely transactions, escalating to senior team members where appropriate.
  • You will work collaboratively within an experienced and supportive legal team that will invest in your development and learn to confidently guide our sales teams on internal processes.
  • You will have a genuine appetite to test, adopt and champion AI tools that make our legal function faster and smarter.
  • Reviewing, drafting and negotiating commercial agreements, such as MCSAs, SOWs and Order Forms, ensuring that Databricks' risk position is protected and internal compliance requirements are met;
  • Supporting the end-to-end contract management lifecycle, providing practical, commercially-minded advice to sales and professional services teams on contractual risks and commercial matters;
  • Actively testing and adopting AI tools to improve the efficiency of contract review and the wider legal function, and contributing to process improvements and good practices that help us scale;
  • Providing support and enablement to sales teams on key contractual requirements, best practices and contract management;
  • Developing a strong understanding of Databricks' internal structures, product offerings, technology, security/data protection positions and policies to give you a foundation for providing support across Databricks' lines of business;
  • Building your understanding of Databricks' commercial offerings to support sales teams (and customers where needed) during negotiations;
  • Applying critical thinking and problem-solving skills to propose business solutions which can meet the business' and customers' needs;
  • Cultivating strong cross-functional relationships with key stakeholders to support the Company's go-to-market efforts across EMEA; &
  • Contributing as a team player to help further the status of the legal department as a respected and valued partner within the company.

Requirements for the role:

  • Bachelor's degree (or equivalent);
  • Qualified lawyer (or equivalent), with approximately 3 years' PQE;
  • Experience gained in-house at a leading SaaS company (or in private practice supporting one) with a regular/quarterly sales cycle;
  • Solid experience negotiating MSAs, NDAs, Order Forms and legal amendments with enterprise customers;
  • Familiarity with, or willingness to quickly learn, large CRM systems (like Salesforce) and contract management systems (like Ironclad);
  • A genuine willingness to test and adopt AI tools to improve the efficiency and quality of legal work — this is a must, not a nice-to-have;
  • Demonstrated ability to manage and prioritise time and business needs in the face of competing demands;
  • Experience working with sales teams;
  • A real appetite for the challenge of supporting a world-leading data and AI company operating at hyper-growth scale.

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.

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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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Legal Counsel
Databricks · London, United Kingdom
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