Enterprise Data Architect

Role Description

CTG is seeking an experienced 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.

Qualifications

• 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

Requirements

• 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.
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

To Apply

To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

Salary

The expected base salary for this position ranges from $50.00 to $55.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.