Enterprise Data Architect- Remote

Enterprise Data Architect

Enterprise Data Architect to assess, design, and optimize enterprise data architecture across on-premises and hybrid environments.

This role will focus on data modeling, integration, ETL/ELT architecture, metadata management, and data governance while partnering with cross-functional teams to improve enterprise data quality, scalability, and accessibility.

Location: Remote or Dallas, TX (preferred)

Duration: 2 months

Duties:

• Design and evaluate enterprise data architecture and integration solutions.
• Analyze SQL and NoSQL database schemas and recommend improvements.
• Develop conceptual, logical, and physical data models.
• Design ETL/ELT processes and enterprise data pipelines.
• Create data mapping and transformation specifications.
• Assess and improve data quality through profiling and validation.
• Document data lineage, source-of-truth, and governance standards.
• Support API integrations using REST, SOAP, and event-driven architectures.
• Implement metadata management and data cataloging best practices.
• Analyze edge application data models and enterprise integration requirements.
• Collaborate with business and technical teams to establish enterprise data standards.

Required Skills:

• SQL and NoSQL database schema analysis
• Enterprise data architecture (on-premises and hybrid environments)
• Conceptual, logical, and physical data modeling
• ETL/ELT design and data pipeline development
• Data transformation and mapping frameworks
• REST, SOAP, and event stream integration
• Data profiling and data quality assessment tools
• Data lineage and source-of-truth tracking
• Data cataloging and metadata management tools
• Experience with edge application data models
• Strong analytical, communication, and documentation skills

Experience:

• 8+ years of enterprise data architecture or data engineering experience.
• Proven experience designing enterprise data models and integration architectures.
• Experience implementing data governance, metadata management, and data quality initiatives.
• Experience working within large enterprise environments.
• Ability to communicate effectively with technical and business stakeholders.

Education:

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline.
• Equivalent professional experience will also be considered.