Enterprise Data Architect

StarsHR, Inc.; Harrisburg (Dauphin County); On-site; USD 110,000 - 170,000; Full time

Job summary

StarsHR, Inc. is seeking a data architect to define enterprise data models and governance standards for organization-wide information assets.

The role focuses on establishing canonical models, data architecture principles, and secure, compliant data practices. You will collaborate with product, engineering, cloud, and data teams to design scalable data solutions, promote reuse, and enable AI-ready data products.

Responsibilities

• Define conceptual and logical data models for common business entities.
• Establish canonical models and enterprise information standards.
• Define relationships between enterprise and domain-specific data assets.
• Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design.
• Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs.
• Analyze legacy systems and identify information assets suitable for enterprise reuse.
• Prevent duplication of data structures across applications and agencies.
• Support data migration strategies and target-state architecture.
• Identify and support design of reusable data products
• Define schemas, interfaces, metadata and quality requirements
• Establish product boundaries, stewardship and ownership models.
• Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability
• Define business definitions and data quality expectations.
• Work with engineering and platform teams to translate business concepts into technical designs.
• Partner with cloud, integration and data teams to implement enterprise data products.
• Promote API-first and product-based approaches to information sharing.
• Ensure enterprise data products are discoverable, governed and suitable for future AI use cases.
• Support semantic layers, knowledge graphs and natural language access to enterprise information.

Job description

• Define conceptual and logical data models for common business entities.


• Establish canonical models and enterprise information standards.


• Define relationships between enterprise and domain-specific data assets.


• Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design.

2. Modernization Programs

• Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs.


• Analyze legacy systems and identify information assets suitable for enterprise reuse.


• Prevent duplication of data structures across applications and agencies.


• Support data migration strategies and target-state architecture.


• Identify and support design of reusable data products


• Define schemas, interfaces, metadata and quality requirements


• Establish product boundaries, stewardship and ownership models.

4. Data Governance and Metadata

• Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability


• Define business definitions and data quality expectations.

5. Platform and Technology Collaboration

• Work with engineering and platform teams to translate business concepts into technical designs.


• Partner with cloud, integration and data teams to implement enterprise data products.


• Promote API-first and product-based approaches to information sharing.

6. AI Enablement

• Ensure enterprise data products are discoverable, governed and suitable for future AI use cases.


• Support semantic layers, knowledge graphs and natural language access to enterprise information.