Hybrid Enterprise Data Architect: AI-Ready Data & Catalogs

Polluxa, Inc.; Harrisburg (Dauphin County); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Polluxa, Inc. in Harrisburg is seeking an Enterprise Data Architect to define and evolve the Commonwealth's data architecture and reusable data products to support transformation and AI priorities.

You will partner with business leaders, product and engineering teams to identify assets to share and create canonical models, data standards, and schemas. The role ensures data quality, privacy, security, and regulatory alignment by design, driving reuse across agencies and future AI capabilities.

Qualifications

• Strong understanding of data architecture principles.
• Practical data modeling experience.
• Deep expertise in data-centric architecture.

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 to embed reusable data products into solution designs.
• Analyze legacy systems and identify information assets suitable for enterprise reuse.
• Promote API-first and product-based approaches to information sharing.
• Ensure enterprise data products are discoverable, governed and suitable for future AI use cases.

Skills

Data architecture

Data modeling

Enterprise data products

Cloud data platforms

Tools

Data catalog

Schema design

Job description

Polluxa, Inc. in Harrisburg is seeking an Enterprise Data Architect to define and evolve the Commonwealth's data architecture and reusable data products to support transformation and AI priorities.

You will partner with business leaders, product and engineering teams to identify assets to share and create canonical models, data standards, and schemas. The role ensures data quality, privacy, security, and regulatory alignment by design, driving reuse across agencies and future AI capabilities.