Senior Data Product Engineer, Commercial and Medical Affairs Data Products

Genmab A/S; Princeton (NJ); Hybrid; USD 133,000 - 199,000; Full time

Benefits offered by this job

401(k) match

Health benefits

Voluntary plans

Paid time off

Commuter benefits

Tuition reimbursement

Lifestyle Spending Account

Job summary

Genmab A/S is seeking a Senior Data Product Engineer to architect scalable ELT pipelines using DBT, Snowflake, and Databricks. You will drive data modeling, governance, and analytics enablement, delivering production-grade datasets and semantic layers for BI tools (Power BI/Tableau).

The role blends hands-on engineering with leadership across data platforms and commercial datasets. The position offers hybrid work with 20–40% remote time, in a US-focused setup that supports global data

Qualifications

• 5+ years in data engineering, analytics engineering, or data platform development.
• Expert-level proficiency in: DBT, Databricks, Snowflake, AWS, and BI tools (Power BI/Tableau).
• Strong Python and SQL with experience in distributed systems and large datasets.

Responsibilities

• Architect end-to-end ELT workflows with DBT (core and Cloud).
• Build high-performance Snowflake/Databricks pipelines for batch and streaming workloads.
• Design semantically rich data models and ensure data governance and quality.

Skills

DBT

Databricks

Snowflake

Power BI

Airflow

AWS

Python

SQL

Data modeling

Tools

Delta Lake

Unity Catalog

Tableau

Power BI

PySpark

GitHub Actions

Terraform

Job description

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!

We are looking for a Senior Data Product Engineer with deep expertise in DBT, Databricks, Snowflake, Power BI/Tableau, Airflow and AWS, who can architect and implement scalable, reliable, and high-performance data products. This role will require strong technical skills across data modeling, distributed data processing, ELT pipeline development, and dashboarding, with an emphasis on automation, observability, and engineering best practices supporting our US and Global commercial data warehouse.

You will be expected to design and deliver production-grade data pipelines and models, optimize query, and compute performance, and expose data to end users through well-structured semantic layers and dashboards. The ideal candidate is conceptually strong in modern data architectures and principles, capable of adapting across tools rather than being limited by them and operate as a hands-on technical lead, defining frameworks, making architectural decisions, and guiding implementation patterns across dbt, Snowflake, Databricks and BI platforms. The ideal candidate works successfully across Commercial functions to define, document, test and implement data products delivering functional requirements and impactful data products. The ideal candidate should have familiarity with commercial data sets like IQVIA One Key, Veeva Open Data, Life Science Cloud, Veeva CRM, 3PL data, Claims Data, Digital, Omnichannel and Precision lab data.

Work arrangement

This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.

Core Responsibilities

Data Engineering & Architecture

• Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations.
• Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads. Orchestration using Apache Airflow and Amazon tools.
• Engineer scalable data ingestion pipelines into AWS (S3, Kinesis, Glue, Lambda, Step Functions, Airflow) with strong monitoring and fault tolerance. Ensure observability, cost efficiency & scalability in all pipeline and compute designs.

Data Modeling, Governance, Security and Compliance

• Design normalized and star-schema models for analytical workloads, following dbt’s best practices and software engineering principles.
• Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration.
• Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation.
• Ensure data lineage, cataloging, and metadata management are maintained.
• Apply GDPR, LGPD, and other Data Privacy / Compliance rules and compliance standards.
• Support audits, documentation, and validation activities.

Analytics Enablement & Dashboards

• Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.).
• Partner with analysts and data scientists to optimize queries and deliver production-ready datasets.
• Manage ingestion and harmonization of commercial datasets such as:
  • HCP/HCO master data (IQVIA and Veeva)
  • Sales and distribution data (852,867, 3PL and Country specific market or sales data)
  • Omnichannel engagement (email, rep-triggered, web, events)
  • CRM activity data (Veeva, Life Science Cloud)
  • Market research and syndicated data (IQVIA, etc.)
  • Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics.

Platform Engineering & Automation

• Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks.
• Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation).
• Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar).
• Benchmark and optimize SQL, Python, Spark, and BI query performance at scale.

Collaboration & Stakeholder Support

• Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions.
• Work closely with IT, Compliance, and Data Privacy teams to ensure complaint data handling.
• Provide technical guidance on data availability, feasibility, and best practices.

Required Qualifications

• 5+ years in data engineering, analytics engineering, or data platform development.
• Expert-level proficiency in:
  • DBT: advanced macros, Jinja, testing, exposures, dbt Cloud deployment.
  • Databricks: Spark (PySpark, SQL), Delta Lake, Unity Catalog.
  • Snowflake
  • AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals.
  • Data Visualization: Power BI or Tableau.
• Strong programming background in Python and SQL (including query optimization).
• Proven experience with distributed systems and large-scale datasets (GB-TB scale).
• Experience implementing CI/CD pipelines, data testing, and infrastructure as code.
• Solid understanding of data governance, security, and compliance in enterprise environments.

Why This Role?

Working as a Data Engineer in an oncology company means your work directly supports the people who need it most—patients facing one of the most difficult diagnoses of their lives. Every pipeline you build, every dataset you harmonize, and every insight you enable helps accelerate how quickly life‑changing therapies reach the right patients at the right time. You get to solve challenging engineering problems while contributing to something bigger than technology. You’re not just optimizing pipelines—you’re helping ensure that a patient gets diagnosed earlier, a doctor receives better information, or a family gains access to a therapy that gives them more time together.

You will work at the intersection of modern data engineering and analytics product development, solving challenges of scale, performance, and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization.

For US based candidates, the proposed salary band for this position is as follows:

$132,720.00---$199,080.00

The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives.

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

Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process.

About Genmab

Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X.

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the fixed-term employment contract.