CLM TEST - GitLab Logo

CLM TEST - GitLab

VP, Data Engineering

Posted 12 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
50K-180K
Senior level
Remote
Hiring Remotely in United States
50K-180K
Senior level
Lead the transformation of GitLab's data architecture and strategy, develop scalable solutions, and establish data governance practices.
The summary above was generated by AI

GitLab is an open core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating the rate of human progress. This mission is integral to our culture, influencing how we hire, build products, and lead our industry. We make this possible at GitLab by running our operations on our product and staying aligned with our values. Learn more about Life at GitLab.

Thanks to products like Duo Enterprise, and Duo Workflow, customers get the benefit of AI at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier. All team members are encouraged and expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact across our global organisation.

An overview of the role

We are seeking a visionary VP of Data Engineering to lead the transformation of our data architecture, governance, and strategy. This executive will address current scaling challenges in our single database architecture while establishing a forward-looking data framework that supports GitLab's growth trajectory.

What you'll do
  • Develop and execute a comprehensive data strategy that addresses current scaling limitations in our monolithic database architecture
  • Lead the unification of metadata across all GitLab platforms, building upon recent successes with gitlab.com datastores
  • Design scalable data solutions for both gitlab.com and Dedicated instances
  • Partner with product leadership to ensure data considerations are integrated early in product planning
  • Build and lead a world-class data engineering team
  • Establish enterprise-wide data governance practices and standards
  • Create a roadmap for transitioning from ad-hoc data management solutions to robust, scalable systems
  • Foster a data-driven culture across the organization
What you'll bring
  • Proven track record of successfully transforming legacy data architectures to modern, scalable solutions
  • Experience working with large-scale, distributed database systems
  • Strong understanding of data architecture principles and best practices
  • Experience unifying disparate data sources across multiple platforms
  • Strategic thinker with the ability to balance immediate technical needs with long-term vision
  • Excellent communication skills with the ability to translate complex technical concepts to diverse stakeholders
  • Background in managing technical teams in a fast-paced, high-growth environment
Ideal Experience
  • Prior experience at a rapidly scaling technology company
  • Knowledge of DevOps platforms and the software development lifecycle
  • Familiarity with modern data engineering tools and frameworks
  • Experience leading organization-wide data transformation initiatives
  • Track record of implementing data solutions that directly impact business outcomes
What We Offer
  • Opportunity to shape the data strategy for a market-leading DevOps platform
  • Collaborative, transparent culture with remote-first work philosophy
  • Competitive compensation and benefits package
  • Chance to work on challenging technical problems at significant scale
  • Direct impact on product decisions and company direction

This role represents a unique opportunity to fundamentally transform how GitLab leverages its most valuable asset - its data. The successful candidate will play a pivotal role in our continued growth and success by ensuring our data infrastructure supports our ambitious vision for the future.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.  

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Top Skills

AI
Data Architecture
Data Engineering Tools
Database Systems
Devops Platforms

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