VP, Data Engineering

Requirements

• 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

Nice to Haves

• 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 You'll Be Doing

• 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

Perks and Benefits

• 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