Enterprise Data Architect

Job Summary:

The Enterprise Data Architect in Harrisburg, PA, is responsible for defining and evolving the enterprise information architecture and reusable data products to support organizational transformation and AI initiatives. This role collaborates with business leaders, product and engineering teams, and technology organizations to create sustainable data solutions that align with regulatory, privacy, and security standards while preventing data silos across agencies. Responsibilities:

• Define conceptual and logical data models for common business entities and establish enterprise information standards.
• Create and maintain canonical models, data domains, and relationships between enterprise and domain-specific data assets.
• Design enterprise information architecture incorporating data classification, privacy, security, and regulatory compliance.
• Collaborate with modernization teams to embed reusable data products into solution designs and support data migration strategies.
• Analyze legacy systems to identify information assets suitable for enterprise reuse and prevent data duplication.
• Identify, design, and support reusable data products including defining schemas, interfaces, metadata, and quality requirements.
• Establish data stewardship, ownership models, and enforce data governance principles including data cataloging, lineage, observability, and interoperability.
• Work closely with engineering, platform, cloud, and integration teams to translate business concepts into technical designs and implement enterprise data products.
• Promote API-first and product-based approaches to information sharing across the enterprise.
• Enable AI capabilities by ensuring enterprise data products are discoverable, governed, and suitable for AI use cases such as semantic layers and knowledge graphs.

Required Skills & Certifications:

• Strong expertise in enterprise data architecture principles and practical data modeling experience.
• Knowledge of data governance, data quality standards, and metadata management.
• Experience with designing data products, data domains, and reusable data assets.
• Understanding of data privacy, security, and regulatory compliance requirements.
• Ability to collaborate with cross-functional teams including business, engineering, and platform groups.
• Familiarity with cloud platforms, API design, and integration technologies.
• Experience supporting AI enablement through data architecture and semantic technologies.

Preferred Skills & Certifications:

• Experience with workflow modernization and legacy system analysis.
• Knowledge of natural language processing, knowledge graphs, and semantic data layers.
• Certifications in data architecture, cloud platforms, or data governance frameworks.
• Familiarity with product-based data management approaches.

Special Considerations:

• Must adhere to data privacy, security, and regulatory compliance by design.
• Role requires collaboration across multiple agencies and domains to avoid data silos.

Scheduling:

• Regular work schedule from 8:00 AM to 5:00 PM EST.
• Position duration is 12+ months with the possibility of extension.