QUALIFICATIONS:

• Five or more years of experience in data engineering, database administration, or a related role.
• Expertise in both SQL and NoSQL databases; familiarity with Big Data pipelines such as Spark and Kafka is a plus.
• Experience working with life sciences or healthcare datasets is strongly preferred.
• Strong communication skills with the ability to manage external partnerships and negotiate data usage rights.

ROLE OVERVIEW:

As the Database Tsar, you will scout, evaluate, and integrate new data sources to enhance our predictive models and knowledge graph. Your role goes beyond daily database management; you will design and optimize the entire data pipeline. If you are passionate about data quality, interoperability, and enabling AI-driven insights, this position is for you.

KEY RESPONSIBILITIES:

• Identify, research, and evaluate external datasets, including genomic, proteomic, and clinical data, to enhance the knowledge graph and AI models.
• Design and optimize pipelines for ingesting diverse data sources, including APIs, bulk uploads, and streaming data.
• Select, deploy, and maintain database solutions, including SQL, NoSQL, and graph databases.
• Implement best practices for data validation, compliance, and privacy.
• Collaborate with engineering, data science, and DevOps teams to ensure seamless data flow and fast iteration cycles.