FEQ225R66

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organizations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.

The Data Governance Specialist will work with senior members of product management, engineering, and field engineering to help set and implement the data governance strategy for the Databricks Data Intelligence Platform and evangelize it with customers. You will organize, enable, and lead field engineers in the launching and evaluation of our new governance features for both data and AI.  You will be instrumental in working along with our field account executives and alliance/channel development directors in building technical and business relationships with prospects, customers and market leading partners.

The impact you will have:

• Own the enablement of the field on how to effectively facilitate a governance conversation
• Own the presentation and communication for how to best integrate our governance model with customers
• Serve as the voice of the customer to Product Management about which UC feature requests are most critical
• Lead the process for handling non-standard data governance conversations across the field
• Provide thought leadership on data governance, both internally and externally
• Collaborate across teams when Data Governance overlaps with multiple product areas
• Collaborate with the ISV team on partnerships with 3rd party vendors
• Collaborate, document, and communicate the Databricks Governance vision
• Effectively present our vision to Chief Data Officers and Data Governance Directors at customers
• Develop programs and materials to enable our pre and post-sales customer-facing teams on Data Governance
• Evangelize best practices for Data Governance across our customers and to customer-facing teams
• Assist account teams in overcoming Data Governance objections

What we look for:

• Excellent written and verbal communication skills; ability to explain highly technical concepts to both technical and non-technical audiences of all levels
• Proficiency in performing highly effective technical presentations and demonstrations in a fast-paced environment
• 5+ years working with Data Governance within a highly regulated industry (either internally or in a customer-facing capacity)
• Experience with Risk and Compliance Tools and Platforms
• Experience applying data governance to Data Warehouses and / or  Data Lakes
• Experience with applying data security to Data Lakes (Apache Ranger, Kerberos, Immuta, Privicera.)
• Certification and/or demonstrated competence in one or more of the major cloud services (AWS, Azure, GCP) and in a Directory Service (preferably Active Directory)
• Experience or knowledge of an Entitlement Management / Access Management service; either a commercial vendor or a bespoke system
• Demonstrated competence in the Databricks platform
• Certifications such as Certificate of Cloud Security Knowledge (CCSK)
• Experience or knowledge of data governance for machine learning models
• Experience or knowledge of data compliance certifications (PCI-DSS, HIPAA, HITRUST, FedRamp)

Benefits:

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)

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.

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.