Job
Description
What Youll Do Design & Implement an enterprise data management strategy aligned with business process, focusing on data models designs, database development standards and data management frameworks Develop and maintain data management and governance frameworks to ensure data quality, consistency and compliance for different Discover domains such as Multi omics, In Vivo, Ex Vivo, In Vitro datasets Design and develop scalable cloud based (AWS or Azure) solutions following enterprise standards Design robust data model for semi-structured/structured datasets by following various modelling techniques Design & implement of complex ETL data-pipelines to handle various semi-structured/structured datasets coming from Labs and scientific platforms Work with LAB ecosystems (ELNs, LIMS, CDS etc) to build Integration & data solutions around them Collaborate with various stakeholders, including data scientists, researchers, and IT, to optimize data utilization and align data strategies with organizational goals Stay abreast of the latest trends in Data management technologies and introduce innovative approaches to data analysis and pipeline development. Lead projects from conception to completion, ensuring alignment with enterprise goals and standards. Communicate complex technical details effectively to both technical and non-technical stakeholders. What Youll Bring Minimum of 7+ years of hands-on experience in developing data management solutions solving problems in Discovery/ Research domain Advanced knowledge of data management tools and frameworks, such as SQL/NoSQL, ETL/ELT tools, and data visualization tools across various private clouds Strong experience in following: Cloud based DBMS/Data warehouse offerings AWS Redshift, AWS RDS/Aurora, Snowflake, Databricks ETL tools Cloud based tools Well versed with different cloud computing offerings in AWS and Azure Well aware of Industry followed data security and governance norms Building API Integration layers b/w multiple systems Hands-on experience with data platforms technologies like: Databricks, AWS, Snowflake, HPC ( certifications will be a plus) Strong programming skills in languages such as Python, R Strong organizational and leadership skills. Bachelors or Masters degree in Computational Biology, Computer Science, or a related field. Ph.D. is a plus. Preferred/Good To Have MLOps expertise leveraging ML Platforms like Dataiku, Databricks, Sagemaker Experience with Other technologies like Data Sharing (eg. Starburst), Data Virtualization (Denodo), API Management (mulesoft etc) Cloud Solution Architect certification (like AWS SA Professional or others)
