Data Architect

As a Data Architect, your role involves designing and implementing enterprise data models to ensure data integrity, consistency, and scalability. You will be responsible for analyzing business needs and translating them into technical requirements for data storage, processing, and access. Your key responsibilities include: - Designing and implementing enterprise data models - Analyzing business needs and translating them into technical requirements - Utilizing In-memory Cache to optimize query performance - Implementing Query Engine for processing complex data queries efficiently - Leveraging Business Rules Engine (BRE) for data access control and compliance - Selecting and implementing appropriate data management technologies - Collaborating with data engineers, developers, and analysts for seamless data integration - Monitoring and optimizing data infrastructure performance - Staying up-to-date on emerging data technologies and trends - Documenting data architecture and processes for clear communication and knowledge sharing To qualify for this role, you should have: - 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) - Working experience with ETL tools and data ingestion leveraging real-time solutions (e.g., Kafka, streaming) - 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 Feel free to apply if you meet the qualifications and are excited about contributing to our data architecture and processes. As a Data Architect, your role involves designing and implementing enterprise data models to ensure data integrity, consistency, and scalability. You will be responsible for analyzing business needs and translating them into technical requirements for data storage, processing, and access. Your key responsibilities include: - Designing and implementing enterprise data models - Analyzing business needs and translating them into technical requirements - Utilizing In-memory Cache to optimize query performance - Implementing Query Engine for processing complex data queries efficiently - Leveraging Business Rules Engine (BRE) for data access control and compliance - Selecting and implementing appropriate data management technologies - Collaborating with data engineers, developers, and analysts for seamless data integration - Monitoring and optimizing data infrastructure performance - Staying up-to-date on emerging data technologies and trends - Documenting data architecture and processes for clear communication and knowledge sharing To qualify for this role, you should have: - 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) - Working experience with ETL tools and data ingestion leveraging real-time solutions (e.g., Kafka, streaming) - 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 Feel free to apply if you meet the qualifications and are excited about contributing to our data architecture and processes.