Architect, Data Governance

Accountabilities:

• Formulate data and AI governance strategies aligned with client business objectives, regulatory requirements, and industry best practices.
• Create, communicate, and implement data governance policies, procedures, frameworks, and operating models while ensuring compliance.
• Introduce emerging technologies, methodologies, and best practices to strengthen data governance capabilities.
• Develop and execute data and AI governance strategies that improve data discoverability, quality, accessibility, usability, AI use-case evaluation, and AI readiness.
• Lead the migration of complex data architectures from on-premises environments to modern cloud platforms.
• Establish and enforce governance practices that strengthen data security, compliance, and responsible data management.
• Introduce containerization approaches that improve scalability, deployment efficiency, and operational flexibility.
• Mentor engineers, review architectures and code, and guide delivery teams through technical implementation.
• Lead technical discovery sessions and shape solution architectures based on client requirements and business objectives.
• Support technical presales activities, including RFP responses, demonstrations, proofs of concept, and engagement pricing.
• Create technical blueprints and recommend appropriate tools, frameworks, and design patterns for client environments.
• Partner with sales and account teams to scope engagements and showcase data governance expertise throughout the sales cycle.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in data governance, including at least 4 years in a client-facing role, preferably within a professional services or consulting environment.
• Strong mastery of data governance capabilities and frameworks as defined by DAMA-DMBOK.
• Certification or demonstrated expertise in governance toolsets such as Unity Catalog, Atlan, or Anomalo.
• Expert knowledge of Databricks and Spark is required.
• Proven experience creating technical proofs of concept, delivering technical presales presentations, and developing engagement pricing.
• Demonstrated ability to develop and implement governance strategies that improve data quality, discoverability, accessibility, security, and AI readiness.
• Strong understanding of cloud data architectures and experience leading complex data migrations.
• Excellent client-facing communication skills, with the ability to influence and communicate effectively with both technical and executive stakeholders.
• Strong solution architecture and technical problem-solving skills, with the ability to translate business requirements into scalable technical designs.
• Experience mentoring engineers and guiding technical teams through architecture and implementation decisions.
• Comfortable working across a modern technology environment using Google Workspace, macOS, Slack, and Atlassian tools.
• Strong consulting mindset with the ability to manage multiple priorities, collaborate cross-functionally, and build trusted client relationships.

Benefits:

• Base salary range of $155,000–$200,000 per year.
• Fully remote opportunity within the United States.
• Opportunity to work on complex data and AI transformation initiatives across enterprise environments.
• Exposure to Databricks, cloud technologies, modern data governance platforms, and emerging AI methodologies.
• Opportunity to work directly with technical and executive stakeholders and influence strategic data initiatives.
• Collaborative, technically focused environment with opportunities to mentor engineering teams and contribute to solution architecture.
• Equal opportunity workplace committed to fair and inclusive employment practices.
• Opportunity to work from established offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto, for candidates who prefer an office environment.