Director, Tech Lead - Data Platform
Role details
Job location
Tech stack
Job description
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.
Requirements
- 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 be leveraged to facilitate model development
- Proficiency in Python, with experience developing scalable data pipelines and cloud-based (Databricks) architectures.
- Strong knowledge of GxP and regulatory compliance in biotech/pharma data platforms preferred.
- Experience designing and implementing data mesh architectures and data marketplaces.
- Proven ability to work with data governance teams to ensure alignment with enterprise metadata management, lineage tracking, and access control.
- Excellent stakeholder management, communication, and influencing skills across technical and non-technical teams.
- Biotech or pharma experience preferred, with a deep understanding of how data flows across R&D (e.g., translational research, bioinformatics), CMC (e.g., batch records, stability data), and Commercial (e.g., omnichannel engagement, sales ops) contexts in biotech/pharma.
- Ability to balance hands-on technical work with technical leadership.
- Exposure to modern data lakehouse architectures leveraging Delta Lake, medallion architecture, and Unity Catalog is a plus., * You are genuinely passionate about our purpose
- You bring precision and excellence to all that you do
- You believe in our rooted-in-science approach to problem-solving
- You are a generous collaborator who can work in teams with a broad spectrum of backgrounds
- You take pride in enabling the best work of others on the team
- You can grapple with the unknown and be innovative
- You have experience working in a fast-growing, dynamic company (or a strong desire to)
- You work hard and are not afraid to have a little fun while you do so!
Benefits & conditions
When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for:
- 401(k) Plan: 100% match on the first 6% of contributions
- Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
- Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
- Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
- Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
- Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses