Senior Counsel, Professional Services GTM

Location:

We are looking to hire for this role locally to our offices based in Seattle, Bellevue, San Francisco, or Mountain View. This will be a hybrid role with in‑office expectations.

Databricks is looking for an experienced commercial attorney to join Databricks' growing go‑to‑market legal team. As Legal Counsel, you will be joining a team of legal professionals responsible for reviewing and negotiating customer and partner agreements and providing legal support for Databricks' revenue‑generating activities. You will report to the VP, International General Counsel.

You have 7+ years of relevant commercial legal transactional experience, focusing on professional services within complex technology transactions. You have meaningful experience negotiating professional services terms as part of SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property.

The impact you will have:

• Become an important member of the go‑to‑market legal team responsible for reviewing and negotiating partner and customer agreements globally. Focus on balancing/mitigating risk for the company while continuing to enable our rapid revenue growth.

• Cultivate strong relationships with field sales by providing sound, strategic counsel to support ongoing go‑to‑market efforts.

• Help maintain and update our legal agreements, with particular focus on professional services, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long‑term stability for the company.

• Serve as a solutions‑oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, professional services offerings, information security architecture, and data privacy/compliance policies.

• Work cross‑functionally with our business partners (e.g., Finance, Information Security, Product, and privacy) to align, communicate, and enforce applicable policies and controls in our global contracting processes.

What we look for:

• Minimum of seven (7) years of technology transactions experience, either at a law firm and/or in‑house Attorney role.

• Relevant commercial transactional experience working for and/or supporting cloud‑based software companies, including an understanding of professional service delivery to support consumption growth.

• Substantial experience drafting, negotiating, and closing complex professional services agreements and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property.

• Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.

• Demonstrated experience prioritizing competing demands and being responsive to client expectations in a fast‑paced environment within a limited time period.

• Outstanding written and verbal communication skills.

• Growth mindset, strong attention to detail, excellent critical thinking, and problem‑solving abilities.

• Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.

• Experience and/or strong interest in mentoring and guiding junior legal team members.

• JD and good standing to practice law in the relevant jurisdiction.

Pay Range Transparency

Zone 1 Pay Range

$203,900 — $285,425 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…