Data Architect

Required Skills & Experience

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Required Qualifications Bachelor's degree in Information Systems, Computer Science, Data Management, or a related discipline. Five (5) or more years of experience in data architecture Recent Experience developing or maturing enterprise data governance and information management programs. Experience defining enterprise standards, frameworks, policies, and governance processes. Strong understanding of metadata management, business glossaries, data lineage, stewardship, and data quality practices. Demonstrated ability to work effectively with both business and technical stakeholders. Excellent written, verbal, facilitation, and presentation skills. Preferred Qualifications Experience with Microsoft Fabric, Microsoft Purview, Power BI, Azure Data Services, or similar enterprise data, data governance, and analytic platforms. Experience in healthcare, health insurance, employee benefits, or other regulated industries. Familiarity with DAMA-DMBOK, TOGAF, COBIT, or related governance and architecture frameworks. Experience supporting enterprise analytics and reporting initiatives. Professional certifications in architecture, governance, cloud computing, analytics, or data management. Master's degree in a related discipline. COMPETENCIES Data Architecture Data Governance Enterprise Architecture Metadata Management Data Quality Management Strategic Planning Business Analysis Facilitation and Collaboration Communication and Influence Change Management Analytical Thinking Problem Solving

Job Description

. This role establishes architectural frameworks, standards, data models, and operating models that enable effective governance, stewardship, analytics, and management of enterprise information assets. Working closely with the Director of Data Governance & Analytics, business leaders, Data Owners, Data Stewards, and technology teams, the Data Architect develops enterprise information architecture, governance structures, metadata framework, and platform roadmap that support trusted, secure, and actionable information across the organization. This role serves as the primary architectural authority for the Information Intelligence Program and helps ensure information assets are managed as a strategic business resource.

Information Architecture

• Develop and maintain the enterprise information architecture and supporting roadmaps.
• Define enterprise information domains, data models, data definitions, and data requirements.
• Establish standards for information classification, organization, retention, and lifecycle management.
• Create future-state architectural strategies supporting business, operational, analytical, and AI/ML objectives.
• Ensure alignment between business needs, governance requirements, and technology capabilities. Governance and Stewardship Framework
• Design and maintain enterprise data governance frameworks, standards, and operating procedures.
• Define and refine Data Owner and Data Steward accountability models.
• Develop governance processes supporting policy management, issue resolution, data quality, metadata management, and stewardship activities.
• Support governance councils and decision-making bodies through architectural guidance and expertise.
• Promote adoption of governance standards across business and technology teams. Metadata and Information Management
• Establish standards and processes for metadata management, business glossaries, data quality, data lineage, and data cataloging.
• Define enterprise approaches for data classification, critical data elements, master and reference data management.
• Recommend practices that improve information consistency, discoverability, quality, and reuse across the enterprise.
• Support implementation and adoption of enterprise information management tools and capabilities. Platform Architecture and Analytics Enablement
• Define architectural standards for enterprise data, analytics, and reporting platforms.
• Partner with engineering teams to establish scalable integration, storage, and reporting patterns.
• Provide architectural guidance for the data platform and related information management technologies.
• Define standards for data products, information services, and analytical assets.
• Ensure enterprise information platforms support scalability, security, and operational reliability. Security, Privacy, and Compliance
• Partner with Information Security, Privacy, Compliance, and Risk Management teams to ensure information assets are appropriately protected.
• Develop architectural standards supporting information classification, access management, retention, and regulatory requirements.
• Ensure governance and information management practices align with enterprise security and privacy objectives.
• Support audit, compliance, and risk management activities involving enterprise information assets. Program Development and Organizational Maturity
• Support the continued maturation of Luminare Health's Information Intelligence Program.
• Contribute to the development of policies, standards, training materials, and reference documentation.
• Provide subject matter expertise to governance, engineering, analytics, and business teams.
• Monitor industry trends and emerging practices in information governance, architecture, analytics, and artificial intelligence.
• Promote the use of information as a strategic enterprise asset.

KEY DIFFERENTIATOR

This job is specific to architectural design and development of architectural frameworks, data structures, and strategies supporting the creation and management of data products that support reporting, analytics, and ultimately AI/ML models. The data products produced based on this work will be critical to sustained growth for the company.

SUPERVISORY RESPONSIBILITIES

This position does not have direct supervisory responsibilities but will provide technical and architectural guidance and support to project teams, business stakeholders, Data Owners, Data Stewards, and other participants in Information Intelligence initiatives.