17 авг

platform engineer for data platforms

ориентир по рынку
вакансия зп не указана
в среднем 343 365 ₽
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описание

Moderna develops mRNA medicines and operates an mRNA technology platform designed to transform how medicines are created and delivered. The company supports global operations through its international business services hub in Warsaw.

задачи

  • Architect and lead the implementation of large-scale platform components, including Data Lakes, SDKs, Data Catalogs, and Access Control layers, ensuring scalability and modularity;
  • Drive cross-functional technical design sessions, aligning platform architecture with business priorities and modern data mesh principles;
  • Design, develop, and optimize data ingestion and transformation pipelines with a strong focus on observability, performance, and cost-efficiency;
  • Advance federated data catalog architecture and enforce metadata standardization across domains;
  • Integrate AI-assisted data management tools to enhance governance, lineage tracking, and operational workflows;
  • Mentor senior and mid-level engineers and promote best practices across DevOps, CI/CD, and Infrastructure as Code;
  • Collaborate with AI/ML, analytics, and governance teams to ensure security, regulatory compliance, and continuous innovation across the platform.

требования

  • 10+ Years in data engineering, cloud architecture, or backend engineering roles;
  • Extensive hands-on experience with AWS, including Glue, Redshift, Lake Formation, and IAM, Python, and modern data frameworks;
  • Expertise in system architecture, distributed systems, and microservices, including Kubernetes and Docker;
  • Experience with data cataloging, metadata management, and data governance frameworks;
  • Proficiency in DevOps, CI/CD, and observability platforms;
  • Experience mentoring teams in agile, product-centric environments;
  • Nice to have: Prior experience leading modular platform initiatives, familiarity with Databricks, Snowflake, or similar cloud-native analytics platforms, familiarity with vector databases, LLM workflows such as LangChain and OpenAI, MLOps tooling, strong knowledge of privacy and compliance frameworks such as GDPR and HIPAA.

условия

  • Competitive healthcare and voluntary benefit programs;
  • Fitness, mindfulness, and mental health support;
  • Family building benefits, including fertility, adoption, and surrogacy support;
  • Generous paid time off, including vacation, bank holidays, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown;
  • Savings and investment programs;
  • Location-specific perks and extras;
  • Benefits may vary depending on the nature of employment and the country of work;
  • 70/30 Work model with 70% in-office collaboration;
  • Smoke-free, alcohol-free, and drug-free work environment;
  • Equal opportunity employment and reasonable accommodation for qualified applicants.

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