Moderna

Biotech

SeniorDataPlatformEngineer

$240–360k ~AI est. Poland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Platform Engineer at Moderna”

Industry & Context.

Biotech
Full Job Description

If you’re interested in this role, please apply in English and include an English version of your Resume/CV. **The Role:** Joining Moderna means advancing mRNA science to transform medicine. Work with exceptional global teams on a broad pipeline and build a career that makes a real difference for patients. Moderna is strengthening its international business services hub in Warsaw, supporting our growing global operations. We welcome professionals ready to help advance our mission and shape the future of mRNA medicines. As a Senior Data Platform Engineer, you will play a critical role in advancing Moderna’s data platform capabilities, enabling scalable, secure, and governed data access across the organization. You will operate at the intersection of platform engineering and data architecture, shaping the systems that empower data scientists and domain teams. This is an opportunity to work with cutting-edge cloud and data technologies while contributing to a platform that accelerates innovation, including the adoption of Generative AI-driven data solutions. **Here 's What You'll Do:** * Design, implement, and scale robust data services on AWS using technologies such as Glue, Redshift, Iceberg, Lambda, EMR, Step Functions, and Apache Airflow * Build and enhance platform capabilities including self-service data ingestion APIs, metadata governance frameworks, and secure data sharing patterns * Develop infrastructure-as-code modules and support continuous integration and continuous delivery (CI/CD) pipelines to ensure reliable deployments * Contribute to architectural design discussions, shaping technical decisions and ensuring alignment with Moderna’s broader data platform strategy * Partner closely with Product Managers to gather data requirements, understand business priorities, and translate them into scalable technical specifications * Collaborate with data scientists and domain engineers to enable governed, self-service data management capabilities across the enterp

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