Data Architect
1 month ago
Must-have skills: data architecture, integration, design and delivery exp; 5+ y of ETL and data mapping exp; 5+ y of exp in middleware technologies; SQL; data modeling and related tools (e.g., Erwin); SQL Server technologies; Oracle technologies (9i, 10g, 11g, RAC)
PREFERRED : govermental exp.
PLEASE SEND LOCAL CANDIDATES ONLY (currently located in FL)
Additional information: The candidate should be able to provide an ID if the interview is requested. The candidate interviewing must be the same individual who will be assigned to work with our client.
Requirements:
Proven experience in data architecture, integration, design and delivery;
Proven experience in designing data architectures for scalability and performance;
Proven experience with logical and physical data modeling and related tools (e.g., Erwin);
Proven experience in the development of plans and management of data migration on large-scale 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;
Advanced-level 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 include but are not limited to the following:
Develop scalable, high-performance 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 large-scale 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;
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