Director, Tech Lead - Data Platform

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Does this inspire you and feel like a fit? Then we would love to have you join us!

Genmab is seeking a Director, Tech Lead – Data Platform to drive the evolution of its data ecosystem. This role blends hands-on development with technical leadership in data platform and data marketplace development, ensuring seamless integration of modern data technologies while meeting the bespoke needs of different scientific and business domains.

A key focus will be on implementing data catalog and marketplace components and translating governance needs into technical solutions, ensuring that data is discoverable, accessible, and compliant. Databricks and its data management services:
Unity Catalog as a metastore and Delta Lake as the storage layer, sit at the center of the platform and its expected this role will provide deep mastery and technical thought leadership of the Databricks ecosystem to meet platform needs. This role will also need a deep understanding of modern data marketplaces and be able to guide and implement different aspects of it.

This role offers the opportunity to shape Genmab’s enterprise-wide data platform strategy, influencing how data is governed and consumed across all business functions.

• Design and implement data platform solutions integrating Airflow, Databricks, DBT, Django and Reltio within a cloud-based data platform (AWS preferred).
• Leverage Unity Catalog as a metastore, Delta Lake, and the medallion architecture to establish scalable and well-governed data solutions.
• Integrate the data platform with compute, AI and other analytical systems including facilitation of varying MLOps solutions in collaboration with the AI platform team
• Contribute to cohesiveness of Genmab’s broader data ecosystem, including third-party tools, external data sources, and integrations with partner organizations.
• Guide the implementation and optimization of scalable, efficient data pipelines, workflows, and data mesh implementations.
• Develop components of the data marketplace including aspects of full-stack development.
• Define best practices, architectural frameworks, and standards for modern cloud-based data platforms in a regulated environment.
• Collaborate with data governance teams to translate governance policies into technical solutions, ensuring data quality, lineage tracking, access control, and compliance.
• Identify reusable solution patterns that reduce governance friction and accelerate compliant data usage across business functions
• Engage with data producers, consumers, stewards, and data engineers to tailor solutions that fit their needs.
• Ensure GxP compliance, regulatory adherence, and best practices in data security for all data workflows.

• Bachelor’s degree in Computer Science, Bioinformatics, or a related field is required.
• Master’s or Ph.D. in a relevant field is a plus.
• 10+ years of experience in data engineering, data architecture, or related roles.
• Expertise in Airflow, Databricks (2-3 years experience), DBT, and Reltio, with a strong understanding of orchestration, transformation, and master data management (MDM) in biotech.
• Familiarity and ability to deliver components of a data marketplace in a hands-on format, which includes components of full-stack development.
• Understanding of AI and analytics and how data needs to…