Databricks
Sr. Counsel, Privacy Compliance
$208K–$302K
Bellevue, Washington +6 · Senior · Full-time · Posted Aug 3, 2026
- Location
- Bellevue, Washington
Boston, Massachusetts
Chicago, Illinois
Denver, Colorado
Seattle, Washington
Washington, D.C.
Washington, D.C. - Experience
- 7+ years of relevant legal experience; 5+ years focused on privacy. Law firm and/or in-house experience; a combination of both is a plus.
- Education
- J.D. from a top-tier law school.
About the job
Own and mature Databricks’ privacy compliance program, advise the business on global privacy and AI laws, and develop AI-enabled processes and controls.
What you'll do
- Advise on privacy and data protection laws, interpret regulatory changes, and provide actionable guidance.
- Build privacy governance and compliance processes, including risk assessments, data subject rights, notices, consent, policies, and training.
- Draft and negotiate data protection terms in commercial contracts and collaborate across legal and business teams.
What they ask for
- 7+ years of relevant legal experience at a top law firm and/or in-house, including 5+ years focused on privacy and demonstrated experience building, operating, or leading a privacy compliance program.
- Knowledge of global privacy and AI frameworks, cross-border data-transfer mechanisms, and operational privacy-program components.
- Technical proficiency using AI tools to build skills, agents, and automated tasks; understanding of cloud and software technology.
- J.D. from a top-tier law school; state bar membership in good standing.
Nice to have
- Experience at a company offering platform services to business customers; familiarity with privacy management tooling such as OneTrust.
- Privacy certifications such as CIPP/E, CIPP/US, CIPM, CIPT, or FIP; CIPM particularly valued.
Pay
$219,800 — $302,300 USD (base salary); $207,600 — $285,450 USD (base salary)
Tools
GDPR/UK GDPR, CCPA/CPRA, EU AI Act, SCCs, IDTA, EU-U.S. Data Privacy Framework, OneTrust
AI focus
Develop AI-enabled privacy processes and controls; contribute to AI governance; use AI tools to build skills, agents, and automated tasks.
Model-written summary · the original posting is authoritative