Enterprise Data Architect

Job Description

Job Description

Title: Enterprise Data Architect
Location: Harrisburg - PA
Duration: 4 Months

• Hybrid - one day weekly (Tue, Wed or Thursday) in office--607 South Drive, Forum Building 5th floor, Harrisburg
• Interview type: Screening with hiring manager, virtual interview with 2more people, final in person at Harrisburg

• The Enterprise Data Architect is responsible for defining and evolving the Commonwealth's 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 org to identify which information assets should be shared across agencies and which should remain domain specific.
• The position will define data domains, create data models, ensure data quality, map source to domain 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.

• 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.

• Bachelor of 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, modeling experience in designing or implementing data warehouse/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, Solution Architect for large enterprises or modernization initiatives

• 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.
• Client the foundation for enterprise analytics and AI capabilities across the Commonwealth.

• experience in data architecture, information architecture or enterprise architecture.
• hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehou
• experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP
• 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
• experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders