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.

- Analyze 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.

- Bachelor's degree in computer science, Information Technology, or a related field