Senior Legal Counsel - Privacy

Posted 2 Days Ago
Be an Early Applicant
New York, NY
172K-304K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Senior Legal Counsel for Privacy will advise various business partners on data protection provisions in contracts, support compliance with privacy laws, facilitate Privacy by Design assessments, draft privacy notices, and ensure policies align with global privacy regulations. They will collaborate with teams across the company to manage privacy risks and compliance.
Summary Generated by Built In

GAQ225R54

Location: We are hiring for this position locally to our offices in Seattle, Bellevue, Denver, San Francisco, NYC, Boston, or Mountain View.

Databricks is seeking a Privacy Legal Counsel to help the Databricks legal team navigate rapidly evolving global privacy laws and regulations. You will report to the Legal Director of Privacy in building out our privacy team. As a member of the Privacy team, you will provide legal counsel to several business partners as well as help support the privacy compliance program for Databricks.

The impact you will have:

  • Partner with marketing, sales, go-to-market and procurement teams to assess potential privacy and security risks and regulatory requirements, including lead generation and marketing outreach activities, developing and providing training
  • Support privacy program compliance, including data subject rights requests, data inventory, privacy by design, and help operate and improve the effectiveness of critical privacy compliance processes
  • Facilitate Privacy by Design by working with key business stakeholders to complete Privacy Impact Assessments (PIAs) and performing the initial review of completed PIAs and Data Protection Impact Assessments (DPIAs) for new processing activities, IT changes, projects, and data ingests
  • Counsel and advise the commercial team on data protection-related provisions in commercial contracts, including updating templates for and negotiating data processing addendums and business associate agreements.
  • Draft external privacy notices and disclosures, and manage/update internal policies and procedures to ensure compliance with global privacy laws
  • Research and evaluate the applicability and impact of global privacy laws, legislation, and regulatory guidance on new business initiatives and processes

What we look for:

  • 7-10 years of substantive legal experience, preferably both in-house and at a law firm, with experience supporting privacy, SaaS, marketing, and/or technology
  • Ideally 3 or more years specializing in privacy legal 
  • Deep understanding of cloud and software technology, and a strong desire to work on legal issues in these areas
  • Experience working for a company offering platform services to business customers is a plus
  • State bar membership required
  • Ability to prioritize and manage time, and client expectations, in the face of competing demands, often without direct guidance as we scale our rapidly expanding business
  • Comfortable working with distributed teams
  • Ability to exercise good judgment in raising issues and when collaborating with others
  • Outstanding written and verbal communication skills, including concise contract redlining

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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

$171,500$303,500 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks. 

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.

The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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