Enterprise Data Architect

Location: Harrisburg, PA Salary: $110.00 USD Hourly - $120.00 USD Hourly Description:
Enterprise Data Architect

Location:
Harrisburg, PA

Duration: 3+ Months

Work Arrangement

• Hybrid
  
  Schedule:
  
  1 day per week onsite (Tuesday, Wednesday, or Thursday)

Interview Process

• Hiring Manager Screening
• Virtual Interview with 2 additional team members
• Final In-Person Interview in Harrisburg

Role Summary

The Enterprise Data Architect is responsible for defining and evolving the enterprise information architecture and reusable data products to support transformation and AI priorities.

This role partners with business leaders, product and engineering teams, and enterprise technology organizations to identify which information assets should be shared across business units and which should remain domain-specific. The position will define data domains, create data models, ensure data quality, map source data to domains, and assist in creating contracts to support modernization initiatives and future AI capabilities.

The role serves as the bridge between business processes and technical implementation, ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos.

The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and deep expertise in data-centric architecture.

Key Responsibilities

1. Enterprise Information Architecture

• 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 incorporating:
• Data classification
• Privacy requirements
• Security requirements
• Regulatory compliance requirements

2. Modernization Programs

• Partner with workflow modernization teams 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.
• Support data migration strategies and target-state architecture.

3. Data Product 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, standards, best practices, and guidelines.
• Support:
• Data cataloging
• Data lineage
• Observability
• Security
• 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.

Required Qualifications

Education

• Bachelor's Degree in:
• Computer Science
• Information Systems
• Systems Programming
• Or an equivalent combination of education and relevant experience

Experience

• Minimum 10 years of experience in:
• Data Architecture
• Information Architecture
• Enterprise Architecture
• 8+ years of hands-on experience in:
• Data Architecture
• Data Engineering
• Advanced Database Design
• Data Modeling
• Data Warehouse/Data Mart Design and Implementation
• Master Data Management (MDM) Concepts and Tools
• 5+ years of experience with:
• Snowflake
• Databricks
• MongoDB
• Cloud-Based Big Data Ecosystems:
• AWS
• Azure
• Google Cloud Platform
• Experience working with:
• Data security
• Data privacy
• Regulatory requirements for handling sensitive data
• Experience designing and implementing:
• Data quality initiatives
• Data quality platforms and tooling
• Demonstrated experience supporting:
• Large-scale modernization initiatives
• Digital transformation programs
• Multiple domains and stakeholder groups

Skills

• Strong communication and stakeholder management skills.
• Ability to work cross-functionally across domains.
• Proven ability to:
• Develop work plans…