Snowflake Cortex AI expert with Write-Back and Collibra Experience | Pharmaceutical exp mandatory

Role Description This is a remote, contract role for a Snowflake Cortex AI expert with write-back capabilities and Collibra experience, with pharmaceutical domain experience required. The role involves designing, implementing, and optimizing Snowflake Cortex AI solutions, including data pipelines, models, and write-back mechanisms for advanced analytics and decision support in pharmaceutical use cases. The professional will configure and integrate Collibra for data governance, metadata management, and data cataloging, ensuring alignment with regulatory and compliance standards. Day-to-day responsibilities include collaborating with data engineers, data scientists, and business stakeholders, translating business requirements into technical solutions, maintaining documentation, and supporting validation and audit readiness. The role also includes troubleshooting performance and data quality issues, promoting best practices in data governance and model lifecycle management, and contributing to continuous improvement of digital health and pharmaceutical data platforms.
Qualifications
Candidates should possess strong expertise in Snowflake, Snowflake Cortex AI, and data engineering concepts, including data modeling, ELT/ETL, performance optimization, and secure data sharing.
Candidates should possess hands-on experience with write-back implementations from analytics or AI layers into Snowflake or related data stores, including transactional logic, access control, and audit trails.
Candidates should possess Collibra skills for data governance, metadata management, data cataloging, and policy enforcement in regulated environments.
Candidates should possess substantial pharmaceutical and/or healthcare industry experience, with familiarity in GxP, FDA regulations, audit/inspection readiness, and governance, risk, and compliance practices.
Candidates should possess proficiency in SQL and one or more scripting or programming languages (such as Python or Java) for data processing, integrations, and AI model deployment.
Candidates should possess experience with cloud platforms (such as AWS, Azure, or GCP), including data services, security, and integration patterns relevant to Snowflake ecosystems.
Candidates should possess skills in data quality

Work arrangement
Yes