Business Technology Solutions Consultant

Job Description

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What You'll Do Design & implement an enterprise data management strategy aligned with business process, focusing on data model 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 models for semi-structured/structured datasets by following various modeling techniques. Design & implement 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 You'll Bring Minimum of 7+ years of hands-on experience in developing data management solutions solving problems in the 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 the 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 between 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. Bachelor's or Master's 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 (e.g., Starburst), Data Virtualization (Denodo), API Management (Mulesoft etc.). Cloud Solution Architect certification (like AWS SA Professional or others).