Data Architect

Data Architect: • Design and implement enterprise data models, ensuring data integrity, consistency, and scalability Responsibilities: Design and implement enterprise data models, ensuring data integrity, consistency, and scalability. Analyse business needs and translate them into technical requirements for data storage, processing, and access. In-memory Cache: Optimizes query performance by storing frequently accessed data in memory. Query Engine: Processes and executes complex data queries efficiently. Business Rules Engine (BRE): Enforces data access control and compliance with business rules. Select and implement appropriate data management technologies, including databases, data warehouses. 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. Document data architecture and processes for clear communication and knowledge sharing, including the integration. Qualifications: • Proven experience in designing and implementing enterprise data models. • Expertise in SQL and relational databases (e.g., Oracle, MySQL, PostgreSQL). • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is mandatory. • Working experience with ETL tools and data ingestion leveraging any real-time solutions (e.g., Kafka, streaming) is required • Strong understanding of data warehousing concepts and technologies. • Familiarity with data governance principles and best practices. • Excellent communication, collaboration, and problem-solving skills. • Ability to work independently and as part of a team. • Strong analytical and critical thinking skills. • Experience with data visualization & UI Development is a plus. • Bachelors degree in computer science, Information Technology, or a related fiel