Enterprise Data Architect
Computer Task Group
Enterprise Data Architect
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.
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.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.
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