Position: Enterprise Data Architect (Ref: 18592)
Location: Harrisburg, PA USA, 17101
Salary: DOE
Duration: 10 Months 19 Days - Contract
Openings: 1
Deadline: 08/13/2026
Description:
***Local Candidates
***Hybrid onsite 1 day /week
We are seeking an experienced Enterprise Data Architect to define and evolve our enterprise information architecture and reusable data products in support of organizational transformation and AI priorities.
In this role, you will partner closely with business leaders, product and engineering teams, and technology leadership to determine which information assets should be shared across organizational domains versus those that remain domain specific. You will serve as the critical bridge between business processes and technical implementation, ensuring new solutions contribute to a sustainable, modern enterprise data foundation rather than creating isolated silos.
Key Responsibilities
• Enterprise Information Architecture:
o Define conceptual and logical data models for common business entities.
o Establish canonical models, enterprise information standards, and domain-specific relationships.
o Design data architecture incorporating classification, privacy, security, and regulatory requirements by design.
• Modernization & Program Strategy:
o Partner with workflow modernization, product, and engineering teams to embed reusable data products into solution designs.
o Analyze legacy systems to identify information assets suitable for enterprise reuse and prevent data structure duplication across applications.
o Support data migration strategies and target-state architecture.
• Data Product Architecture & Governance:
o Identify and design reusable data products, defining schemas, interfaces, metadata, and quality requirements.
o Establish product boundaries, stewardship, ownership models, and business definitions.
o Set data architecture principles, best practices, data lineage, observability, security, and interoperability guidelines.
• Platform Collaboration & AI Enablement:
o Collaborate with cloud, integration, engineering, and platform teams to translate business concepts into technical designs using API-first and product-based approaches.
o Ensure enterprise data products are discoverable, governed, and suitable for future AI use cases (including semantic layers, knowledge graphs, and natural language access).
Required Qualifications & Background
• Education: Bachelor’s degree in Computer Science, Information Systems, Systems Programming, or an equivalent combination of education and experience.
• Architecture Experience: Minimum 10 years of experience in data architecture, information architecture, or enterprise architecture.
• Data Engineering & Modeling: 8+ years of hands-on experience in data architecture, data engineering, advanced database design, data warehouse/data marts design, and Master Data Management (MDM) concepts/tools.
• Cloud & Platform Expertise: 5+ years of experience with data platforms such as Snowflake, Databricks, MongoDB, or cloud-based big data ecosystems (AWS, Azure, GCP). Experience with unstructured data is a plus.
• Large-Scale Modernization: Demonstrated track record supporting large-scale digital transformation or modernization initiatives across multiple domains and stakeholders.
• Data Security & Quality: Strong knowledge of data security, privacy, regulatory requirements for sensitive data, and implementing data quality initiatives/tooling.
Preferred Background
• Experience in the Public Sector, Healthcare, or Financial Services industries.
• Background serving as a Principal Architect, Enterprise Information Architect, or Solution Architect for large enterprise environments.
Interview Process and Working Conditions:
• Initial screening with the hiring manager.
• Virtual panel interview.
• Final in-person interview in Harrisburg, PA.
• Schedule: Hybrid (1 day per week on-site: Tuesday, Wednesday, or Thursday)
• 40 hrs. / week, Mon-Fri
Required / Desired Skills
• Experience in data architecture, information architecture or enterprise architecture. Required - 10 Years
• Hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse Required - 8 Years
• Experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP) Required - 8 Years
• Experience working with data security, privacy and regulatory requirements for handling sensitive data Required - 5 Years
• Experience in designing and implementing data quality initiatives, including platforms and tooling Required - 5 Years
• Experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders Required - 5 Years