Senior Data Architect

Novaren Systems, LLC; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Novaren Systems, LLC seeks a Data Architect to lead enterprise data architecture and governance, guiding modernization of the CPSC data ecosystem with cloud-native strategies, metadata management, and analytics enablement for operational reporting and AI/ML initiatives.

The role emphasizes scalable data architectures, MDM, governance frameworks, data modeling, ETL/ELT, and secure, compliant solutions in regulated environments.

Qualifications

• 5+ years designing enterprise data architectures, data warehouses, and integration solutions.
• 3+ years supporting Azure-based cloud data environments.
• Strong knowledge of metadata management, governance, and data quality practices.

Responsibilities

• Lead enterprise data architecture planning and modernization efforts.
• Develop metadata standards, lineage frameworks, and authoritative data structures.
• Design scalable cloud-native data architectures supporting analytics and AI/ML use cases.
• Support migration of legacy data environments to modern cloud platforms.
• Create enterprise architecture documentation, diagrams, and governance artifacts.

Skills

Data architecture

MDM

Governance

Data modeling

ETL/ELT

Cloud architecture

AI/ML analytics

Education

Bachelor's degree in CS/Math/Engineering or related field

Tools

Azure

Job description

Required clearance: Clearance: Ability to obtain Public Trust or higher preferred

About the role

The Data Architect will lead enterprise data architecture and governance efforts supporting modernization of the CPSC enterprise data ecosystem. This role focuses on scalable cloud architecture, metadata management, master/reference data governance, interoperability planning, and enterprise analytics enablement supporting operational reporting and AI/ML initiatives.

• Metadata
• MDM
• Governance

Key skills & technologies

Design and implementation of scalable enterprise data architectures including medallion/layered architectures, cloud-native modernization strategies, and enterprise analytics platforms.

Metadata & Governance

Metadata management, master data management (MDM), reference data governance, lineage documentation, authoritative data sourcing, enterprise cataloging, and governance frameworks.

Data Modeling & Integration

Conceptual, logical, and physical data modeling; dimensional modeling; ETL/ELT frameworks; interoperability strategies; API integration; and enterprise data flow design.

Migration & Modernization

Modernization of legacy systems, migration to open-source/cloud-native architectures, and enterprise data transformation initiatives.

Security & Compliance

Zero Trust concepts, regulated environments, auditability, privacy controls, secure architecture principles, and governance compliance.

Key responsibilities

• Lead enterprise data architecture planning and modernization efforts
• Develop metadata standards, lineage frameworks, and authoritative data structures
• Design scalable cloud-native data architectures supporting analytics and AI/ML use cases
• Support migration of legacy data environments to modern cloud platforms
• Create enterprise architecture documentation, diagrams, and governance artifacts
• Collaborate with engineering, analytics, and governance teams to align architecture with mission objectives
• Ensure data interoperability and enterprise integration consistency

Minimum experience

• 5+ years designing enterprise data architectures, data warehouses, and integration solutions
• 3+ years supporting Azure-based cloud data environments

Education requirement

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field OR equivalent professional experience.

Preferred certifications & qualifications

• Azure Solutions Architect or Azure Data Engineer certifications preferred
• Experience supporting enterprise modernization initiatives strongly preferred