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