OA-Enterprise Data Architect

Software Technology Inc; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Software Technology Inc is seeking an Enterprise Data Architect to define and evolve the Commonwealth’s data architecture and reusable data products to support transformation and AI priorities.

The role partners with business leaders, product and engineering teams to map information assets and ensure data quality, with a focus on scalable, cross-agency data strategies and governed data platforms.

Qualifications

• Bachelor-level or higher in CS, IS, or related field with equivalent experience.
• Minimum 10 years in data/information/enterprise architecture roles.
• 8+ years in data architecture, engineering or complex modeling.
• 5+ years with cloud data platforms (Snowflake, Databricks, MongoDB).
• Experience with data security, privacy and regulatory requirements.

Responsibilities

• Define conceptual and logical data models and enterprise standards.
• Partner with modernization teams to embed reusable data products.
• Design data product architecture with clear schemas and ownership.
• Set data governance, metadata, and quality guidelines.
• Collaborate with cloud, integration and platform teams on technical designs.
• Support AI enablement by ensuring discoverable, governed data assets.

Skills

Data architecture

Information architecture

Enterprise architecture

Strong communication

Leadership without authority

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Snowflake

Databricks

MongoDB

Job description

AM-Brian Gross

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 2 more people, final in person at Harrisburg

Role Summary

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.

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 that incorporates data classification, privacy, security, and regulatory requirements by design.
2. Modernization Programs
   • 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.
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, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and 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.

Desired Background and Experience

• 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

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 Commonwealth.

Required/Desired Skills

SkillRequired /DesiredAmountof Experienceexperience in data architecture, information architecture or enterprise architecture. Required10Yearshands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouRequired8Yearsexperience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCPRequired5Yearsexperience working with data security, privacy and regulatory requirements for handling sensitive dataRequired0experience in designing and implementing data quality initiatives, including platforms and toolingRequired0experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholdersRequired0