Solutions Architect

  • Nashville, TN
  • Posted 22 days ago | Updated 22 days ago

Overview

Hybrid
$60 - $70
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

CDMP)
AWS Certified Data Analytics Specialty
Microsoft Certified: Azure Data
Data Architect

Job Details

The Data Architect for the department Data Repository will play a pivotal role in strategically designing, developing, and implementing the data model for this critical enterprise-level data warehouse.

Formal Education & Certification:

  • Bachelor's degree in computer science, information systems, data science, or a related field.
  • 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.

Knowledge & Experience:

  • 5 years of work experience as a data architect, data warehouse architect, or similar role, with a focus on data integration and reporting.
  • 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.
  • 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.

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