Careers  /  Business / Data Architect

Business / Data Architect

Location: Hybrid, Roseville, CA or Frisco, TX, with client travel · Type: Full-time · Reports to: Enterprise Architect / Head of Delivery

The Business / Data Architect builds the data foundation that decides whether AI works. You will map how a client's business actually runs, model its data, and put the ownership, quality standards and governance in place to make production data trustworthy, AI-ready and defensible in an audit.

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What you'll do

  • Map business capabilities, processes and value streams, and find where the system of record and the system of reality diverge.
  • Design conceptual, logical and physical data models across ERP, CRM, field-service and operational sources.
  • Lead AI Data Governance engagements: define data ownership, stewardship, quality rules, lineage and policies.
  • Assess data readiness for AI and analytics as part of AI Readiness Assessments.
  • Design data warehouse, lakehouse and pipeline architectures for reporting and AI use cases.
  • Define KPIs and metrics with business leaders, such as cost per unit, margin and asset utilization.
  • Support data migration and consolidation during ERP replacements and post-acquisition integrations.
  • Advise on data privacy and AI-related data obligations alongside our legal and governance leadership.

What you'll bring

  • 7+ years in data architecture, business architecture, data governance or analytics leadership.
  • Strong data modeling skills and advanced SQL.
  • Experience with modern data platforms (e.g., Snowflake, Databricks, Microsoft Fabric/Azure, BigQuery) and BI tools (Power BI or Tableau).
  • Hands-on experience building data governance programs: ownership, quality, catalog and lineage.
  • Ability to run workshops with operations, finance and executive stakeholders.
  • Clear writing for both technical and non-technical audiences.

Nice to have

  • CDMP, DAMA-DMBOK or business architecture certification.
  • Experience preparing data for machine learning or LLM use cases.
  • Knowledge of data privacy regulations (e.g., CCPA/CPRA) and AI governance frameworks.
  • Background in manufacturing, logistics, construction, energy, or unions and associations.

How to Apply

Follow these directions to be considered for the role...

  1. Review your resume and cover letter. Do you accurately depict the responsibility, qualifications and skill sets mentioned above?
  2. Send us some examples of results you've been responsible for in other jobs or projects.
  3. Email us at careers@threeventures.com with your resume and cover letter. Please tell us why you think you're the RIGHT person for the role.
  4. Please follow up once. We want to see that you're serious and not just dumping a resume in 100 different openings.
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