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Data Architect (Google Cloud Platform / BigQuery)
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Offer summary

(Summary generated by AI based on the full job description)

The project focuses on designing scalable, cloud-native data ecosystems and shaping data strategy for international clients. Core stack is Google BigQuery, GCP (Cloud Storage, Dataflow, Composer/Airflow, Pub/Sub, Dataproc, Cloud Functions) or alternatively Databricks / Snowflake + dbt. Responsibilities include designing and implementing Data Warehouses, Data Lakes and Data Mesh, building scalable pipelines, query and cost optimization, data modeling, workflow automation, and implementing IAM, DLP and Data Catalog policies. Requires at least 4–5 years in data architecture/advanced data engineering, strong SQL, Python as a plus, English B2/C1. Offered: remote-first, private healthcare, 1 000 PLN training budget, equipment and insurance.

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Data Architect (Google Cloud Platform / BigQuery)

Company: ASTRAL FOREST PROSTA SPÓŁKA AKCYJNA

from: 17 September 2026
to: 17 October 2026
190 - 230 złnet (+ VAT)/ hr.B2B contract (full-time)
Offer parameters
level:mid • senior
working mode:remote
Warszawa, Wola
Warszawa, WolaOgrodowa 31View on map

Requirements

Expected technologies

Google BigQ
Google Cloud Platform
Cloud Storage
Dataflow
Composer
Pub/Sub
Dataproc

Optional technologies

Python

Operating system

Windows

Our requirements

  • At least 4-5 years of experience in data architecture or advanced data engineering, ideally in GCP / BigQuery environments.
  • Preferred: advanced knowledge of Google BigQuery and the GCP data ecosystem (Cloud Storage, Dataflow, Composer/Airflow, Pub/Sub, Dataproc). Alternatively, strong experience with Databricks or Snowflake combined with dbt is also welcome.
  • Experience designing and deploying solutions using Cloud Storage, Dataflow, Composer (Airflow), Pub/Sub, and Dataproc.
  • Strong background in data modeling, ETL/ELT design, and metadata-driven frameworks.
  • Proficiency in SQL; Python experience is a plus.
  • Understanding of Data Governance, Security, and Data Management best practices.
  • At least foundational, hands-on exposure to AI/LLM-based solutions (e.g. natural language to SQL use cases).
  • Strong analytical and problem-solving skills, with the ability to think strategically and act pragmatically.
  • Full English proficiency (B2/C1).

Your responsibilities

Design & Build
  • Design and implement data architectures using Google BigQuery and the GCP ecosystem (Cloud Storage, Dataflow, Composer, Pub/Sub, Dataproc, Cloud Functions) - or, alternatively, Databricks / Snowflake combined with dbt.
  • Build scalable, efficient data pipelines and automate workflows using metadata-driven orchestration frameworks.
  • Design and develop Data Warehouses, Data Lakes, and Data Mesh solutions that meet both business and technical requirements.
  • Optimize query performance, data storage, and cost efficiency within BigQuery.
  • Define data models (conceptual, logical, physical) aligned with best practices and organizational standards.
    • Consult & Advise
  • Assess and improve existing data architectures to ensure scalability, performance, and compliance.
  • Translate business needs into architectural blueprints and technical designs.
  • Support proposal creation and contribute to defining technical vision for clients.
  • Stay up to date with the latest data technologies, tools, and trends, especially in the Google Cloud ecosystem.
    • Governance & Quality
  • Ensure high standards of data quality, security, and governance across all solutions.
  • Define and implement policies for IAM, DLP, and Data Catalog in GCP.
  • Collaborate closely with data engineers, analysts, and business stakeholders to ensure consistency and scalability.
    • Company

    About the project

    We’re looking for a Data Architect who designs scalable, cloud-native data ecosystems and knows how to turn complex data needs into robust, elegant architectures.
    If you’re someone who enjoys solving problems end-to-end, thrives in modern cloud environments, and wants to shape data strategy, keep reading.

    What we offer

    We’re a growing company with global clients and ambitious goals - which means real challenges, variety, and opportunities to grow.
    If you’re ready to shape how data drives modern business, we’ll make sure you have everything you need to succeed.
  • Remote-first, flexible working model
  • Private healthcare, insurance, and Multisport
  • Full working equipment provided
  • 1,000 PLN annual development budget for training, certifications, or conferences
  • Regular knowledge-sharing sessions and mentoring
  • Work with international clients from Switzerland, France, UK, the US, UAE, and more
  • A real team culture, where collaboration and learning go hand in hand
  • Team integrations that build connection - without awkward icebreakers

    • Recruitment stages

    • 1.
      Recruitment interview
    • 2.
      Interview with the company's co-founder
    Data Architect (Google Cloud Platform / BigQuery)
    190–230 zł / hr. (B2B)
    I apply to:
    ASTRAL FOREST PROSTA SPÓŁKA AKCYJNA
    Warszawa, Wola

    Need more information?

    • Make sure the body of the offer doesn’t already include what you’re looking for.
    • Ask a question if you need more information you’re interested in.
    • We’ll forward your question to the employer and aim to provide a response within 3 business days.

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