Remote
1 day ago
Data Architect
Job Seekers, Please send resumes to resumes@hireitpeople.com

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)

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 toolsExperience working with development teamsExperience working with web services

Preferred:

Knowledge and understanding of the basis EA concepts and EA theoryExperience 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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