data management lead.

You're a key individual driving a Data Warehouse project, focusing on the design, development, and maintenance of a new data lakehouse platform.

about the job.

• Design and implement a robust, scalable, resilient, and high-performance data storage and management system specifically for genomic data. This includes defining and documenting system architecture, data models, data flow diagrams, and system interfaces.

• Evaluate and recommend optimal storage technologies (e.g., object storage, parallel file systems, databases) considering performance, cost, scalability, and reliability. Identify and address performance bottlenecks in data storage and retrieval , and develop scalability plans for rapid genomic data growth.
• Work closely with bioinformaticians, software engineers, and DevOps teams to ensure the data infrastructure meets their needs.
• Perform additional tasks as assigned by senior officers.

• Bachelor's degree in Computer Science or a related field with at least 6 years of relevant work experience.

• Strong understanding of data warehousing principles, data modeling, ETL processes, and cloud-based data technologies.

• Deep expertise in various storage technologies like object storage, parallel file systems, and databases.

• Proficiency in Linux system administration (shell scripting, monitoring, performance tuning) , experience with data security and access control mechanisms , and knowledge of containerization with Docker and Kubernetes.

• A keen focus on platform-level optimization for enhanced performance and scalability.
• Experience with genomic data analysis and bioinformatics tools is preferred, but not required.