Principal Data Platform Engineer

4w1 month ago

Moderna

Warsaw, PL · Full-time · PLN 250,000 – PLN 350,000

About this role

Join Moderna to advance mRNA science and transform medicine. As a Principal Data Platform Engineer, you will operate at the intersection of architecture, strategy, and hands-on engineering, shaping the backbone of a modern, cloud-native data platform.

You will lead critical design decisions while remaining deeply embedded in technical execution across core platform components. Your work will advance data discoverability, enable federated data ecosystems, and embed AI-assisted capabilities into data management and governance.

You will act as a mentor and technical leader, elevating engineering excellence while driving scalable, interoperable, and future-ready data solutions. Collaborate closely with AI/ML, analytics, and governance teams to ensure robust security and continuous innovation.

This role offers the opportunity to build a career that makes a real difference for patients. You will work with exceptional global teams on a broad pipeline, strengthening Moderna’s international business services hub in Warsaw.

Requirements

10+ years in data engineering, cloud architecture, or backend engineering roles.
Extensive hands-on experience with AWS (e.g., Glue, Redshift, Lake Formation, IAM), Python, and modern data frameworks.
Expertise in system architecture, distributed systems, and microservices (Kubernetes, Docker).
Experience with data cataloging, metadata management, and data governance frameworks.
Proficient in DevOps, CI/CD, and observability platforms.

Responsibilities

Architect and lead the implementation of large-scale platform components, including Data Lakes, SDKs, Data Catalogs, and Access Control layers.
Drive cross-functional technical design sessions to align platform architecture with business priorities and modern data mesh principles.
Design, develop, and optimize data ingestion and transformation pipelines with a focus on observability, performance, and cost-efficiency.
Champion data discoverability by advancing federated data catalog architecture and enforcing metadata standardization across domains.
Integrate AI-assisted data management tools to enhance governance, lineage tracking, and operational workflows.
Mentor senior and mid-level engineers, fostering a culture of technical excellence and promoting best practices in DevOps, CI/CD, and Infrastructure as Code.
Collaborate closely with AI/ML, analytics, and governance teams to ensure robust security, regulatory compliance, and continuous innovation.