Solutions Architect – Data Governance

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the primary technical and strategic consultant for enterprise data governance projects within client engagements.

• Develop governance strategies and design governance architectures.

• Facilitate governance discovery workshops, maturity evaluations, roadmap projects, and executive strategy meetings.

• Create enterprise governance frameworks, stewardship models, ownership structures, governance policies, business glossaries, taxonomy standards, and metadata management processes.

• Design and oversee the implementation of Microsoft Purview Data Governance functionalities.

• Set governance standards for structured data assets across platforms such as Microsoft Fabric, Azure Data Services, Power BI, SQL Server, Snowflake, Azure Databricks, and others.

• Assist clients in establishing sustainable governance processes, operational procedures, and stewardship responsibilities.

• Provide guidance to executive stakeholders, data leaders, governance councils, and technical teams.

• Convert business objectives, regulatory requirements, and operational needs into scalable governance solutions.

• Lead client-facing workshops, architecture evaluations, roadmap conversations, and governance design meetings.

• Create governance monitoring and operational reporting solutions using Azure Monitor, Azure Log Analytics, and relevant observability tools.

• Implement processes for governance measurement, stewardship accountability, data quality reporting, lineage monitoring, and tracking governance adoption.

• Contribute governance accelerators, reference architectures, and reusable delivery resources.

• Utilize delivery standards and AI-accelerated delivery methods while identifying potential areas for enhancement.

• Advise organizations on governance preparedness for Microsoft 365 Copilot and enterprise AI projects.

• Evaluate metadata maturity, lineage coverage, ownership models, and governance controls for responsible AI adoption.

⛳️ Requirements

• Bachelor’s degree in Information Systems, Data Management, Computer Science, Engineering, a related technical field, or equivalent professional experience.

• At least seven years of experience in delivering enterprise data, information management, or data governance solutions, with a significant recent emphasis on governance.

• Practical implementation experience with Microsoft Purview, including Unified Catalog, Data Map, Data Estate Insights, business glossary, metadata management, and data lineage.

• Proven experience in establishing data stewardship programs, including executive sponsorship, ownership structures, accountability frameworks, and adoption strategies.

• Experience leading customer-facing consulting projects, executive workshops, governance evaluations, and strategic advisory efforts.

• Familiarity with Microsoft Fabric, OneLake, and Azure.

• Knowledge of data engineering and data visualization architectures and their connection to governance.

• Strong understanding of data governance frameworks and governance reporting.

• Excellent communication, facilitation, presentation, and stakeholder management skills.

• Experience with Azure Databricks and Unity Catalog, including governance and cataloging across Azure-based lakehouse environments.

• Experience supporting Microsoft 365 Copilot enablement, AI governance frameworks, and enterprise AI adoption initiatives.

• Familiarity with agentic systems such as Microsoft Foundry and Copilot Studio.

• Experience designing governance monitoring solutions using Azure Monitor and Azure Log Analytics.

• Knowledge of Azure DevOps, GitHub, Infrastructure as Code (IaC), and CI/CD practices supporting data and analytics platforms.

• Experience working in regulated industries including healthcare, financial services, insurance, manufacturing, or public sector organizations.

• Willingness to travel to SHI, partner, and customer locations as required.

• Ability to work independently while effectively collaborating with sales, delivery, engineering, and leadership stakeholders.

• Commitment to ongoing learning in data governance, analytics, and AI platforms.

• Strong ethical standards with disciplined adherence to data privacy, governance, compliance, and security requirements.

🏝️ Benefits

• Opportunities for continuous professional growth and leadership development.

• Comprehensive health, wellness, and financial benefits.

• Access to world-class facilities and the technology necessary to excel – whether in our offices or yours.

• Medical, vision, dental, 401K, and flexible spending options may be included.