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BioNTech SE · 2 days ago

Director, Data Engineering

Berkeley Heights

Full-time

Onsite

Director/Executive

$168K/yr - $269K/yr

10+ years exp

BioNTech SE is a leader in the life sciences industry, and they are seeking a Director of Data Engineering. This role involves designing, building, and optimizing scalable data pipelines and infrastructure to support analytics and AI/ML initiatives while collaborating with cross-functional teams to deliver actionable data solutions.

Health Care

Responsibilities

Design and build scalable ETL/ELT pipelines and workflows using Databricks and DBT to ingest, transform, and store oncology commercial data

Integrate data across multiple channels (e.g., digital platforms, CRM systems, and other commercial data sources) to support omnichannel strategies and analytics

Optimize data architecture to ensure efficiency, security, and scalability for analytics and AI/ML initiatives

Evaluate and incorporate new tools and technologies to enhance data engineering capabilities

Monitor and improve data quality while ensuring compliance with healthcare regulations (e.g., HIPAA) and pharmaceutical standards

Collaborate with cross-functional teams, including data scientists, marketing analytics, payer analytics, IT, and commercial stakeholders, to deliver actionable data solutions

Manage vendor-delivered data engineering projects, ensuring technical excellence, timely delivery, and alignment with business objectives

Qualification

Data EngineeringETL/ELT ProcessesDatabricksDBTCloud PlatformsData ArchitectureOncology Data SetsLearning AgilityCommunication SkillsTeam ManagementAdaptability

Required

A Bachelor's degree in a related field such as Computer Science or Data Engineering

A minimum of 10+ years of experience in data engineering roles, with a focus on building scalable data pipelines and infrastructure, and a strong understanding of ETL/ELT processes, data architecture, and data warehousing

Hands-on experience using Databricks and DBT for data workflows and architecture optimization, along with familiarity with cloud-based platforms (e.g., AWS, Azure, or GCP)

Understanding of Oncology specific and relevant pharmaceutical industry data sets, especially for the US

Prior experience managing internal teams and external vendor resources

Strong communication skills, with the ability to connect data and its insights within the team and with various stakeholders

Ability to work within large and complex organizations

Ability to adapt in a quickly changing environment

Adaptability to learn and integrate new tools and technologies into the existing tech stack

Learn about Oncology therapy area and company's business needs to ensure analytical outputs meet business needs