Job
Description
About the role: We are seeking a highly skilled and experienced Database Architect to join our team for the development and optimization of our data infrastructure. The ideal candidate will have a strong background in designing scalable database architectures, integrating diverse data sources, and optimizing data workflows to ensure efficiency and reliability. In this role, you will be responsible for building and maintaining robust database architectures, implementing data quality checks, and ensuring compliance with security standards. The candidate should be proficient in working with SQL and NoSQL databases, designing efficient data models, and collaborating with cross-functional teams, including Backend Engineers, Frontend Engineers, Quality Engineers, Design Engineers, Data Scientists, and business stakeholders, to deliver impactful data solutions. Key Responsibility: Design and implement robust, scalable, and high-performance data architectures to support current and future business requirements. Define and implement database architecture standards, best practices, and guidelines. Analyze data requirements and create optimized schema for transactional and analytical databases. Establish and enforce data governance policies and compliance requirements. Implement database security measures, including encryption, access controls, and audits. Ensure data integrity, backup, and disaster recovery strategies are in place. Develop and maintain both OLTP and OLAP databases, ensuring high availability and performance. Define and enforce data quality rules, integrity checks, and standardization practices. Requirements Expertise in database management systems such as Oracle, MySQL, SQL Server, PostgreSQL, MongoDB or NoSQL Minimum 3 + years of experience in Database Architect Strong understanding of database design principles, normalization, and denormalization. Knowledge of cloud-based databases and platforms like AWS RDS. Familiarity with database design tools and techniques (e.g., ERD, Normalization, Dimensional Modeling). Experience in performance tuning, indexing strategies, and query optimization.
