Cloud Data Architect (GCP)

Quick Facts

• Role: Cloud Data Architect (GCP)

• Focus: Data Engineering architecture and implementation on Google Cloud Platform (GCP)

Description

Design, develop, and implement modern Data Engineering solutions on Google Cloud Platform (GCP). Own the architecture and build scalable batch and streaming ETL/ELT pipelines, data transformations with BigQuery, dbt Core, and PySpark, and orchestration with Airflow / Cloud Composer—while ensuring data quality, performance, and reliability.

Responsibilities

• Design and develop data solution architecture on GCP

• Implement scalable ETL/ELT for batch and streaming

• Build data models and transformation pipelines using BigQuery, dbt Core, and PySpark

• Design and maintain data orchestration pipelines using Apache Airflow / Cloud Composer

• Define architecture standards, best practices, and reusable patterns

• Create data validation, monitoring, and data quality controls

• Collaborate with data architects, data modelers, and developers to implement data models and solutions

• Co-develop frameworks and generators for data ingestion processes

• Supervise quality, performance, scalability, and reliability of delivered solutions

• Prepare and verify unit, integration, and quality tests

• Support deployments to TEST, PREPROD, and PROD environments

• Create and update technical and architectural documentation

Requirements

• Minimum 3 years of experience in Data Engineering, Cloud Data Architecture, or as a GCP Developer

• Very good knowledge of Python, PySpark, and SQL

• Practical experience with BigQuery and dbt Core-based solutions

• Practical experience with Cloud Composer / Apache Airflow, Cloud Storage, and Pub/Sub

• Experience designing and deploying ETL/ELT and processing large data sets

• Knowledge of data platform architecture and integrating multiple data sources

• Experience with GitHub, CI/CD, and software development best practices

• Practical knowledge of testing data solutions (unit, integration, and quality tests)

• Ability to design scalable, efficient, and easy-to-maintain solutions

• English proficiency to work with technical documentation

Benefits

• Hybrid work: 2 days per week in the Warsaw office