Enterprise Data Architect

8 years of hands-on experience in data architecture, data engineering, or advanced database design, with experience in designing or implementing data warehouses/data marts, MDM concepts, and tools. The position defines data domains, creates data models, ensures data quality, maps source to domain, and assists in creating contracts to support modernization initiatives and future AI capabilities.

Job Summary

This position is responsible for defining and evolving the enterprise information architecture and reusable data products to support transformation and AI priorities. The role involves partnering with business leaders, product and engineering teams, and enterprise technology organizations to determine which information assets should be shared across agencies and which should remain domain-specific. The position defines data domains, creates data models, ensures data quality, maps source to domain, and assists in creating contracts to support modernization initiatives and future AI capabilities. The role serves as the bridge between business processes and technical implementation, ensuring new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos.

Key Responsibilities

• 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, security, and regulatory requirements by design.
• 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 and agencies.
  • Support data migration strategies and target-state architecture.
• Data Product Architecture
  • Identify and support the design of reusable data products.
  • Define schemas, interfaces, metadata, and quality requirements.
  • Establish product boundaries, stewardship, and ownership models.
• 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.
• 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.
• 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.

Desired Background and Experience

• Bachelor's degree in Computer Science, Information Systems, Systems Programming, or equivalent combination of relevant education and experience.
• Minimum 10 years of experience in data architecture, information architecture, or enterprise architecture.
• 8 years of hands-on experience in data architecture, data engineering, or advanced database design, with experience in designing or implementing data warehouses/data marts, MDM concepts, and tools.
• At least 5 years of experience with data platforms such as Snowflake, Databricks, MongoDB, and big data on cloud-based ecosystems (AWS, Azure, GCP). Experience working with unstructured data is a plus.
• Experience working with data security, privacy, and regulatory requirements for handling sensitive data.
• Experience in designing and implementing data quality initiatives, including platforms and tooling.
• Demonstrable experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders.
• Ability to work across domains and stakeholders with strong communication skills.
• Proven ability to develop work plans for self, resolve ambiguity, and lead teams without authority.
• Industry experience in public sector, healthcare, or financial services is preferable.
• Candidates may have previously served as Principal Architect, Enterprise Information Architect, or Solution Architect for large enterprises or modernization initiatives.

Success Measures

During the first year, this role will:

• Establish enterprise information architecture principles.
• Define reusable enterprise data products for priority domains.
• Support specific modernization initiatives as a model implementation.
• Introduce metadata and ownership standards.
• Enable future modernization efforts to reuse common data assets rather than recreating them.
• Lay the foundation for enterprise analytics and AI capabilities across the organization.

Location

This role is based in Harrisburg, Pennsylvania, a city known for its rich history, vibrant culture, and as the capital of the Commonwealth of Pennsylvania. The position requires a hybrid work schedule with one day in the office weekly.

Benefits PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan.PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws. Equal Opportunity Employer (EEO) PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply. Americans Disabilities Act (ADA) The physical and mental requirements described in this job description are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.Must be able to perform the essential physical functions of the position, including sitting, standing, walking, stooping, kneeling, andlifting upto 25 pounds, with or without reasonable accommodation. Candidate Privacy To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://peaktechnical.com/privacy-policy/and https://peaktechnical.com/ca-residents-privacy-rights/ AI Recruiting Disclosure We use AI-assisted tools to help review applications and compare your experience to job requirements, but all hiring decisions are made by human recruiters. You may request a human-only process or opt out of automated communication at any time. Required notices and our latest bias audit are available on our website: www.peaktechnical.com/ai-disclosure.