
Leading Enterprise Data Solutions
15 hours ago
Enterprise Data Architect
">The successful candidate will design and implement enterprise data models, ensuring data integrity, consistency, and scalability. Responsibilities include analyzing business needs and translating them into technical requirements for data storage, processing, and access.
">Key Responsibilities:
">- ">
- Design and implement enterprise data models to ensure data integrity, consistency, and scalability.">
- Analyze business needs and translate them into technical requirements for data storage, processing, and access.">
- Optimize query performance by storing frequently accessed data in memory.">
- Process and execute complex data queries efficiently using a Query Engine.">
- Enforce data access control and compliance with business rules using a Business Rules Engine (BRE).">
- Collaborate with data engineers, developers, and analysts to ensure seamless integration of data across various systems.">
- Monitor and optimize data infrastructure performance, identifying and resolving bottlenecks.">
- Stay up-to-date on emerging data technologies and trends, recommending and implementing solutions.">
Qualifications:
">The ideal candidate will have proven experience in designing and implementing enterprise data models, expertise in SQL and relational databases, and experience with cloud-based data platforms. Additionally, they should have knowledge of ETL tools, data ingestion leveraging real-time solutions, and strong understanding of data warehousing concepts and technologies.
">Requirements:
">A Bachelor's degree in computer science, Information Technology, or a related field is required. The ideal candidate should also possess excellent communication, collaboration, and problem-solving skills, as well as the ability to work independently and as part of a team.
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