Job Title: Data Architect (Remote)
Work Authorization: Any (candidate must be authorized to work in the US)
Location: Tallahassee FL
Seniority on the skill/s required on this requirement: Mid
Earliest Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12 months with possible extension(s)
Local candidates only (currently located in FL).
Requirements:
- Proven experience in data architecture integration design and delivery.
- Experience in designing data architectures for scalability and performance.
- Experience with logical and physical data modeling and related tools (e.g. Erwin).
- Experience in the development of plans and management of data migration on largescale implementation projects.
- ETL and data mapping experience (5 years).
- Experience in middleware technologies (5 years).
- Experience in creating dictionaries (5 years).
- Experience of meeting facilitation skills (5 years).
- Experience in data caching patterns and data access methodologies.
- Advancedlevel experience with SQL.
- Experience with data integration methodologies.
- Experience with SQL Server technologies.
- Experience with Oracle technologies (9i 10g 11g RAC).
- Demonstrable experience with data replication across database instances including standby and high availability databases.
- Experience designing/architecting databases.
- Experience working with Master Data Management tools.
- Experience working with development teams.
- Experience working with web services.
Preferred:
- Knowledge and understanding of the basis EA concepts and EA theory.
- Experience working for a governmental agency.
Responsibilities:
- Develop scalable highperformance data architectures that meet organizational needs using proven experience in data architecture integration and design.
- Create and manage logical and physical data models with tools like Erwin.
- Oversee data migration plans for largescale implementation projects.
- Lead ETL processes and data mapping activities ensuring efficient data flow and transformation.
- Implement and manage middleware technologies to support seamless data integration and apply extensive experience in data integration methodologies.
- Design and manage SQL Server and Oracle databases for optimal performance and scalability leveraging advanced SQL skills and experience with Oracle technologies.
- Develop and maintain data dictionaries and documentation ensuring data consistency and quality through effective data access methodologies and caching patterns.