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# Architect, Data Governance

- **Company:** LOVELYTICS, LLC
- **Location:** Arlington, VA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $155,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Apple Mac Systems, Microsoft Azure, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Software Design Patterns, Apache Spark, Information Technology, Atlassian Tools, Gsuite, Databricks
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/architect-data-governance-arlington-va--1bcb3269-2496-4dc8-9494-51208994d440

## About the Role

Manufacturing, Optics, Artificial Intelligence (AI), Energy & Utilities, Consumer Packaged Goods, Entertainment and Media, Cloud Computing, Microsoft Windows Azure, Amazon Web Services (AWS), Fortune 500 Customers, * Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

 * 5+ years of experience in data governance with 4+ years in a client facing role, preferably in a professional services firm
 * Mastery in data governance capabilities as defined by the DAMA-DMBOK
 * Certified in governance toolsets such as Unity Catalog, Atlan, or Anomalo.
 * Expert knowledge of Databricks and Spark (required)
 * Experience creating proofs of concept, technical presales presentations, and pricing for engagements
 * Strong client-facing communication skills with the ability to influence technical and executive stakeholders
 * A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian

## Description

* Data and AI Governance Strategy: Formulating data and AI governance strategies aligned with business objectives and industry best practices.
 * Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance.
 * Introduce emerging technologies and methodologies for completion of data governance tasksand capabilities.
 * Developed and execute data governance and/or AI Governance strategy that improved data discoverability, data quality, accessibility, usability, AI use case evaluation, and AI readiness.
 * Lead the successful migration of complex data architecture from on-premises to cloud environments.
 * Establish and enforce data governance practices resulting in improved data security and compliance.
 * Introduce containerization to the organization, enhancing scalability and deployment efficiency.
 * Mentor engineers, review architectures and code, and guide teams through implementation.
 * Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements
 * Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs