Data Governance Architect shaping governance strategies and cloud data architectures for Lovelytics’ enterprise data and AI consulting clients. Leading technical delivery, presales, migrations, and governance implementations on Databricks.
About the role
- Staff full-stack engineer architecting GitLab’s data products, integrations, and knowledge graph. Building APIs, marketplace data access, and AI-powered developer intelligence.
Responsibilities
- Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem
- Lead integration with external systems for business context, including Jira, observability tools, Zendesk, and ServiceNow
- Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery without engineering dependencies
- Publish GitLab observability as OpenTelemetry and broker data-sharing APIs
- Define operational readiness for everything shipped across GitLab.com, Dedicated, and Self-Managed
- Translate an ambiguous 0-to-1 problem space into concrete, iterable roadmaps with Product, Design, and the graph backend team
- Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure
- Mentor senior and intermediate engineers through design reviews, pairing, and code review
- Identify systemic bottlenecks, simplify processes, and design systems that improve execution velocity
Requirements
- Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams
- High agency: finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands
- Force multiplier who raises the people and the codebase around them
- Deep full-stack expertise, including strong proficiency in Go, Ruby, and Node
- Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration
- Hands-on experience building production AI-powered tool orchestration
- Experience operating multi-tenant systems across SaaS and self-managed deployment
- Direct communication and ability to build alignment across teams
- Bias to write things down and make reasoning legible
- Team members are expected to incorporate AI into their daily workflows
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
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