Overview
Skills
Job Details
Position: Data Architect
Long term contract
Location: Hybrid/ Nashville, Tennessee 37219
This position will be required to work in the office 2 days a week and can work remote 3 days a week.
Required Education:
Bachelor's degree in computer science, information systems, data science, or a related field.
Required Certification:
Relevant certifications in data warehousing, data modeling, or database administration (e.g., Certified Data Management Professional (CDMP), AWS Certified Data Analytics Specialty, Microsoft Certified: Azure Data Engineer Associate) are a plus.
Required Experience:
Experience as a data architect, data warehouse architect, or similar role, with a focus on data integration and reporting. (5+ years)
Hands-on experience with data architecting, data modeling (dimensional modeling, relational modeling), ETL/ELT processes, and requirements gathering/analysis, preferably within a complex data environment.
Direct experience in implementing data management processes, procedures, and decision support systems, ideally within a government or judicial context.
Database Administration and Performance Tuning: Knowledge of database management systems and techniques for optimizing performance.
Strong understanding of relational data structures, theories, principles, and practices, as well as data warehousing concepts.
Demonstrated expertise with data warehouse design, development, and data and information system lifecycle methodologies.
Experience with business requirements analysis, entity-relationship modeling, dimensional modeling, database design for reporting and analytics, and the creation of reporting structures.
Ability to manage data migration into a data warehouse environment.
Experience with various database platforms (e.g., Microsoft SQL Server, Oracle)
Understanding of data security principles and best practices relevant to sensitive data.
Experience with data processing flowcharting techniques and data flow diagrams.
Proven ability to work independently and collaboratively within a team environment.