Data Architect

Momento USA; Harrisburg (Dauphin County); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Momento USA in Harrisburg, PA, is seeking an Enterprise Data Architect on a 1-year contract. The role focuses on defining and evolving the enterprise information architecture and reusable data products to support transformation and AI priorities.

You will partner with business leaders, product and engineering teams to map data assets, establish canonical models, and prevent silos while aligning with regulatory requirements and security.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 10+ years of experience in data architecture or enterprise architecture.
• 8+ years in data engineering and database design, including data warehouses and MDM concepts.
• 5+ years with data platforms such as Snowflake, Databricks, MongoDB on cloud ecosystems (AWS/Azure/GCP).
• Experience with data security, privacy and regulatory requirements.
• Proven ability to drive modernization initiatives across multiple domains.
• Strong cross-domain communication and stakeholder alignment.
• Public sector, Healthcare or Financial Services experience preferred.

Responsibilities

• Define enterprise information architecture and canonical data models.
• Partner with product, engineering, and business to embed reusable data products.
• Define data domains, schemas, metadata, and quality requirements.
• Establish ownership models and data governance principles.
• Collaborate with cloud, data, and API teams to enable data sharing.
• Support modernization and AI enablement by ensuring data products meet future needs.

Skills

Data architecture

Enterprise architecture

Communication skills

Leadership

Cross-domain collaboration

Strategic planning

Education

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

Tools

Snowflake

Databricks

MongoDB

AWS

Azure

GCP

Job description

Position: Data Architect

Location: Harrisburg, PA- (Once a week onsite work)- Locals only

Duration: 1 year contract

Hybrid - one day weekly (Tue, Wed or Thursday) in office Harrisburg

Final round interview must F2F

Required:

• The Enterprise Data Architect is responsible for defining and evolving the client'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
   
   
   
   
   1. Define conceptual and logical data models for common business entities.
   
   
   2. Establish canonical models and enterprise information standards.
   
   
   3. Define relationships between enterprise and domain-specific data assets.
   
   
   4. Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design.
   
   
   
   
   
   


2. Modernization Programs
   
   
   
   
   1. Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs.
   
   
   2. Analyze legacy systems and identify information assets suitable for enterprise reuse.
   
   
   3. Prevent duplication of data structures across applications and agencies.
   
   
   4. Support data migration strategies and target-state architecture.
   
   
   
   
   
   


3. Data Product Architecture
   
   
   
   
   1. Identify and support design of reusable data products
   
   
   2. Define schemas, interfaces, metadata and quality requirements
   
   
   3. Establish product boundaries, stewardship and ownership models.
   
   
   
   
   
   


4. Data Governance and Metadata
   
   
   
   
   1. Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability
   
   
   2. Define business definitions and data quality expectations.
   
   
   
   
   
   


5. Platform and Technology Collaboration
   
   
   
   
   1. Work with engineering and platform teams to translate business concepts into technical designs.
   
   
   2. Partner with cloud, integration and data teams to implement enterprise data products.
   
   
   3. Promote API-first and product-based approaches to information sharing.
   
   
   
   
   
   


6. AI Enablement
   
   
   
   
   1. Ensure enterprise data products are discoverable, governed and suitable for future AI use cases.
   
   
   2. 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 client page.

Thank you.

Naveen Samilla
Momento USA

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.