Enterprise Data Architect

e&e is seeking an Enterprise Data Architect for a hybrid contract opportunity in Harrisburg, PA!

We are seeking an Enterprise Data Architect to define and evolve enterprise information architecture and reusable data products supporting modernization, analytics, and AI initiatives. This role will partner with business, product, engineering, and technology teams to establish scalable data models, standards, governance practices, and data products across the organization. The ideal candidate brings strong expertise in enterprise data architecture, data modeling, modern cloud data platforms, and data-centric architecture.

Key Responsibilities

• Define conceptual and logical data models, canonical models, and enterprise information standards
• Establish relationships between enterprise-wide and domain-specific data assets
• Design data architecture incorporating security, privacy, classification, governance, and regulatory requirements
• Partner with modernization teams to identify reusable information assets and reduce data duplication and silos
• Support data migration strategies and target-state architecture for modernization initiatives
• Design reusable data products, including schemas, interfaces, metadata, data contracts, and quality requirements
• Establish standards for data governance, catalogs, lineage, observability, interoperability, stewardship, and ownership
• Collaborate with cloud, integration, platform, and engineering teams to implement enterprise data solutions
• Promote API-first and data-product approaches to enterprise information sharing
• Ensure enterprise data is discoverable, governed, and prepared to support analytics, AI, and machine learning initiatives
• Support semantic layers, knowledge graphs, and natural-language access to enterprise information

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Systems Programming, or a related field, or an equivalent combination of education and professional experience
• Strong background in enterprise data architecture, information architecture, data engineering, and advanced database design
• Hands-on expertise with conceptual and logical data modeling, data warehouses, data marts, and Master Data Management (MDM)
• Experience with modern data platforms such as Snowflake, Databricks, MongoDB, or similar technologies
• Experience with cloud-based data ecosystems including AWS, Azure, and/or GCP
• Strong knowledge of data governance, metadata management, data lineage, data quality, observability, security, and interoperability
• Experience designing and implementing data quality initiatives, platforms, and tooling
• Understanding of data privacy, security, classification, and regulatory requirements for sensitive information
• Experience supporting large-scale modernization or digital transformation initiatives
• Knowledge of API-first architectures, reusable data products, and modern information-sharing approaches
• Familiarity with semantic layers, knowledge graphs, unstructured data, and AI-ready data architectures is highly desirable
• Excellent communication and collaboration skills with the ability to work across business and technical teams
• Ability to navigate ambiguity, independently establish work plans, and lead cross-functional initiatives without direct authority
• Experience within public sector, healthcare, or financial services environments is preferred