Data Architect (Google Cloud Platform / BigQuery)

Data Architect (Google Cloud Platform / BigQuery)

Miejsce pracy: Warszawa

Technologies we use

Expected

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

Optional

• Python

Operating system

• Windows

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.

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.

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).

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

• Recruitment interview
• Interview with the company's co-founder