Jobs / United Kingdom / Databricks
Legal Counsel, EMEA Commercial
Databricks · 🇬🇧 London, United Kingdom
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThis employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
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Sponsor Radar — Databricks
This employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
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About the role
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. A