Enterprise Data Architect

Be inspired. Be valued. Belong.

At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:

• Comprehensive health benefits that start day 1
• Student Loan Repayment Assistance & Reimbursement Programs
• Family-focused benefits
• Wellness incentives

Ongoing mentorship, development, leadership programs...and more!

Remote position, however candidates must reside in one of the following states:
Alabama, Arkansas, Florida, Georgia, Illinois, Louisiana, Michigan, New Hampshire, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, or Wisconsin.

The Enterprise Data Architect serves as the strategic and technical leader for enterprise data architecture, cloud data platforms, semantic modeling, ontologies, governance, and AI-ready data ecosystems across the organization. You will be responsible for defining, governing, and advancing the enterprise data architecture strategy to support analytics, business intelligence, artificial intelligence (AI), operational reporting, research, and digital transformation initiatives across the organization. This role serves as the senior technical authority for enterprise data architecture, cloud data platforms, data modeling, integration architecture, metadatamanagement, and master data management.

The Enterprise Data Architect partners closely with business leaders, data engineers,analytics teams, data scientists, application teams, governance committees, and executive stakeholders to develop a modern, scalable, and trusted data ecosystem. Therole ensures enterprise data assets are secure, governed, discoverable, interoperable, and optimized for self-service analytics, AI, and operational decision-making. The architect leads the design and implementation of cloud-based data platforms andmodern data architectures leveraging technologies such as Microsoft Fabric, Databricks,data lakes, lake houses and enterprise semantic layers.

• Define and maintain the enterprise data architecture roadmap aligned with organizational goals and technology strategy.
• Develop and maintain conceptual, logical, and physical enterprise data models.
• Establish enterprise data standards, principles, patterns, and reference architectures.
• Design future-state architectures that support business growth, scalability, interoperability, regulatory compliance, and innovation.
• Assess current-state data architecture and identify opportunities for modernization and optimization.
• Lead architecture reviews and provide guidance for enterprise initiatives involving data, analytics, integration, and AI.
• Design and govern modern cloud data platforms utilizing technologies such as Microsoft Fabric, Databricks, and other enterprise analytics platforms.
• Define architecture patterns for data lakes, lake houses, data warehouses, semantic models, and data products.
• Establish architectural standards for real-time, batch, streaming, and event-driven data processing.
• Guide platform adoption and ensure alignment with enterprise architecture standards.
• Evaluate emerging technologies and determine their applicability to business and technical needs.
• Lead enterprise data modeling efforts across operational, analytical, and AI use cases.
• Define standards for dimensional, relational and canonical data models.
• Ensure consistency and alignment between business processes and enterprise information models.
• Establish enterprise data domains and business subject area models.
• Support data product development through reusable and standardized data structures.
• Design, develop,…