Data Architect

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.