Sr. Forward Deployed Engineer - National Security at Databricks · LumiJobs

Responsibilities

Databricks is seeking a talented and experienced Senior Counsel, Privacy to serve as a trusted advisor across the business. In this role you will own and mature our privacy program, lead legal initiatives that deliver cutting-edge, practical legal advice as we navigate rapidly evolving global privacy and AI laws. Reporting to the Director & Assistant General Counsel, Privacy, you will develop AI-enabled solutions for operating and maturing the privacy processes and controls that keep Databricks compliant.
The impact you will have
Legal advice and regulatory interpretation. Advise on compliance with global privacy and data protection laws (e.g., GDPR, CCPA/CPRA, ADMT, and other U.S. state laws, Monitor legal and regulatory developments, and translate them into actionable guidance for the business.
Privacy Program & Governance Leadership: Build and mature Databricks’ privacy program to continue meeting evolving regulatory expectations, including contributions to AI governance. Develop core program components for compliance with new regulations, including data subject rights requests, privacy notices, consent management, PIA/DPIAs, and policy management.
Risk assessments. Conduct gap analysis and risk assessments, including Data Protection Impact Assessments (DPIAs), Privacy Impact Assessments (PIAs), and transfer impact assessments to identify, assess, and help mitigate privacy risk, and support the organization's records of processing activities (RoPA).
Contract Negotiation and Transactions: Draft and update form agreements, and counsel on and negotiate data protection provisions in commercial contracts, including data processing addendums (DPAs), standard contractual clauses (SCCs), and related data-transfer instruments.
Policies, training, and governance. Develop and maintain internal privacy policies, external privacy notices, and standards. Design and deliver privacy training and awareness programs, and help operationalize privacy and AI governance frameworks and cross-functional privacy committees.
Cross-Functional Collaboration & Legal Partnership: Build deep cross-functional relationships and collaborate with other legal leaders in commercial, go-to-market, compliance, corporate, and public affairs on privacy issues.
Business and Legal Judgment: Exercise practical judgment about when to approve, approve with conditions, decline, or escalate.
Team Contribution: Provide general legal support on a flexible, as-needed basis across other areas of the business, and contribute as a team player to further the legal department's reputation as an effective, respected, and valued resource within the company.
What we look for
7+ years of relevant legal experience at a top law firm and/or in-house (a combination of both is a plus), with 5+ years focused on privacy and demonstrated experience building, operating, or leading a privacy compliance program (not solely advisory work)

Qualification

6+ years experience in data engineeringFluency in writing code in PythonExpertise in MLOpsPay Range TransparencyZone 1 Pay Range$182Zone 2 Pay Range

Required

6+ years experience in data engineering, data platforms & analytics, or software engineering
Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Deep experience with distributed computing with PySpark, Apache SparkTM and knowledge of Spark runtime internals
Experience with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
Experience with technical project delivery, documentation and white-boarding skillsExperience working with enterprise clients and managing conflicts across a broad stakeholder range

Preferred

10+ years experience in data transformation and warehousing within enterprise level, distributed data systems
Expertise in MLOps, ML/AI models, and AI APIs
Certification in a Databricks-specific domain
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 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 anticipated utilizing 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.
Zone 1 Pay Range
$182,000—$250,208 USD
Zone 2 Pay Range

Sr. Forward Deployed Engineer - National Security

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Databricks

More roles at Databricks