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GitLab

Staff Enterprise Architect

GitLab

. Design and evolve GitLab's internal systems so they integrate, perform, and scale for a rapidly growing business .

Posted 9/22/2026full-timeRemote • United StatesLead💰 $168,000 - $285,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in application and data architecture, with a strong focus on integrating AI across business processes and technology. Proven ability to architect ERP, CRM, and financial platforms while driving architectural change and collaborating with cross-functional teams.

Highest-signal resume keywords
Application ArchitectureData ArchitectureAI IntegrationIntegration Architecture PatternsData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
IntegrationAutomationData WarehousingELTETLReverse ETLAPI DesignBusiness Process ArchitectureTechnology ArchitectureQuote-to-Cash
Soft Skills
CollaborationInfluenceCommunication
Tools & Technologies
SalesforceNetSuiteZuoraZendeskWorkatoClaudeIPaaSCloud Platforms
Industry Keywords
CPQBillingRevenue RecognitionCustomer ServiceData AccessSOX Compliance

Tech Stack

Tools & technologies
CloudERPETLRPA

About the role

Key responsibilities & impact
  • Design and evolve GitLab's internal systems so they integrate, perform, and scale for a rapidly growing business
  • Apply business, application, data, and technology architecture lenses, with AI considered across each
  • Map business processes and capabilities to systems, owners, and systems of record
  • Architect end-to-end processes spanning product introduction, CPQ, quote-to-cash, billing, revenue recognition, renewals, record-to-report, and customer service
  • Redesign workflows and determine appropriate use of AI agents, deterministic automation, and human involvement
  • Produce high-level designs and patterns for Salesforce, NetSuite, Zuora, Zendesk, Workato, and other core platforms
  • Design maintainable, supportable integrations with observability, error handling, runbooks, and realistic total cost of ownership
  • Review application changes, data model changes, and third-party package additions
  • Run quarterly platform health checks and publish reports on capacity, limits, trends, and ownership
  • Architect operational and analytical data flows, including AI retrieval and grounding, APIs, events, pipelines, warehouse models, and reverse ETL
  • Design privacy, residency, SOX, security, data access, and AI data-handling controls
  • Establish integration and data contracts between systems
  • Define platform, integration, identity, access management, secrets-handling, and AI-agent interface patterns
  • Collaborate with Infrastructure, Security, enterprise AI, Data, Applications, Integration, and RPA teams on reliability, security, governance, and scale
  • Produce target-state architectures, decision records, reference patterns, and build-ready high-level designs
  • Co-author designs with engineering teams and support them through implementation
  • Resolve complex technical problems, build proofs of concept, and root-cause production issues
  • Maintain technical-debt inventories and drive remediation through projects, upgrades, and migrations
  • Review architecture as a member of the Architecture Review Board

Requirements

What you’ll need
  • Deep expertise in application architecture and data architecture
  • Working fluency in business process and technology architecture
  • AI expertise as a working lens across business, application, data, and technology architecture
  • Strong hands-on background in integration, automation, and applied AI
  • Experience with retrieval-augmented generation, tool calling, and agent orchestration on a platform such as Claude
  • Experience with AI evaluation and guardrails
  • Fluency using AI in daily work, including AI-assisted development
  • Experience architecting ERP, CRM, CPQ, billing, financial, and customer service platforms
  • Experience with quote-to-cash and record-to-report processes
  • Expert-level knowledge of data modeling, integration architecture patterns, and API design
  • Practical experience with data warehouses and ELT, ETL, and reverse ETL pipelines
  • Depth in iPaaS tooling and production integration operations
  • Working knowledge of cloud platforms
  • Track record of driving architectural change through influence
  • Ability to explain trade-offs in plain business language to Director and VP stakeholders

Benefits

Comp & perks
  • 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