Enterprise Data Architect (Need Locals to PA only)

Role: Enterprise Data Architect

Location: Harrisburg, PA (1 day per week onsite)

Duration: 12+ Months + Extensions

Webex & In-person Interview

Description:

The Enterprise Data Architect is responsible for defining and evolving the information architecture and reusable data products to support transformation and AI priorities. This role bridges business processes and technical implementation, ensuring sustainable enterprise data foundations.

Key Responsibilities1. Enterprise Information ArchitectureDefine 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

Incorporate data classification, privacy, security, and regulatory requirements

2. Modernization ProgramsPartner with modernization teams to embed reusable data products

Analyze legacy systems for enterprise reuse opportunities

Prevent duplication of data structures across applications/agencies

Support data migration strategies and target-state architecture

3. Data Product ArchitectureIdentify and design reusable data products

Define schemas, interfaces, metadata, and quality requirements

Establish stewardship and ownership models

4. Data Governance and MetadataEstablish principles, standards, best practices, and guidelines

Implement data catalog, lineage, observability, security, interoperability

Define business definitions and data quality expectations

5. Platform and Technology CollaborationTranslate business concepts into technical designs

Partner with cloud, integration, and data teams

Promote API-first and product-based approaches

6. AI EnablementEnsure enterprise data products are discoverable and governed

Support semantic layers, knowledge graphs, and natural language access

Desired Background and ExperienceBachelor’s in Computer Science, Information Systems, or equivalent

10+ years in data/enterprise/information architecture

8+ years in data engineering, database design, data warehouse/MDM

5+ years with Snowflake, Databricks, MongoDB, AWS/Azure/Google Cloud Platform

Experience with unstructured data is a plus

Strong knowledge of data security, privacy, and regulatory compliance

Experience with data quality initiatives and tooling

Proven success in large-scale modernization/digital transformation

Strong communication and ability to lead without authority

Industry experience in Public Sector, Healthcare, or Financial Services preferred

Prior roles may include Principal Architect, Enterprise Information Architect, Solution Architect