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GCP Data Architect - freelance

LingaroPolskaPolska

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano18 września 2026
Wykryte przez nas
Wykryte przez nas19 września 2026
Zarobki
ZarobkiDo uzgodnienia

Lingaro is seeking an experienced GCP Data Architect to join our team in a freelance capacity. In this role, you will be responsible for designing and overseeing robust data architectures, ensuring that our data engineering solutions are scalable, secure, and aligned with long-term business strategies.

Key responsibilities

  • Design and oversee comprehensive data architecture and infrastructure, ensuring high performance and adherence to industry best practices.
  • Collaborate with stakeholders to translate complex business requirements into effective data engineering solutions.
  • Define data models and schemas while selecting appropriate technologies for data lakes, warehouses, and processing frameworks.
  • Provide technical guidance and mentorship to data engineering teams to ensure high-quality deliverables.
  • Evaluate and implement data governance, privacy, and security measures across all data systems.

Requirements

  • At least 6 years of experience as a Data Architect, with a minimum of 4 years specifically working with GCP cloud-based infrastructure.
  • Deep expertise in data engineering concepts, including ETL processes, data modeling, and pipeline design.
  • Strong proficiency in SQL and Python, along with experience using modern data transformation tools like DBT or Dataform.
  • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
  • Strong analytical and problem-solving skills, with a focus on distributed computing and system optimization.

What we offer

  • The opportunity to work on complex, large-scale data projects within a global environment.
  • A culture that values diversity, equity, and inclusion, fostering a safe and respectful workplace.
  • Access to a collaborative team of experts and a continuous learning environment.
  • Full flexibility in a remote-first working model.

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