Senior Data Architect - GCP & Lakehouse

GFT Technologies Poland

Łódź

On-site

PLN 180,000 - 260,000

Full time

31 hours ago
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Job summary

GFT Technologies Poland is seeking an experienced Data Engineer/Architect to design and deliver modern data platforms that support advanced analytics and reporting. You will work with business stakeholders and engineering teams to shape architectural solutions, ensuring data quality, scalability, and performance across cloud environments.

Required 8+ years of experience, strong SQL/Python/Spark (PySpark), and hands-on expertise with Databricks, Snowflake, and GCP.

Qualifications

  • 8+ years of commercial experience as a Data Engineer, Lead Data Engineer, or Data Architect.
  • Strong expertise in SQL.
  • Strong expertise in Python.
  • Strong expertise in Spark or PySpark.
  • Experience in data architecture, data quality, metadata management, analytics, and reporting.
  • Strong experience with cloud data engineering tools (GCP).
  • Experience designing data architectures on Databricks and/or Snowflake platforms.
  • Experience with modern data engineering toolsets.

Responsibilities

  • Design and optimize data platform architecture
  • Design and implement data processing frameworks, templates, and solutions
  • Collaborate closely with business stakeholders and engineering teams
  • Review, refine, and translate business requirements into architectural decisions
  • Drive data quality, metadata management, and governance best practices
  • Support the adoption of modern cloud-based data engineering solutions
  • At least 8 years of commercial experience as a Data Engineer, Lead Data Engineer, or Data Architect
  • Strong expertise in SQL

Skills

SQL
Python
Spark / PySpark
Data architecture
Data quality
Metadata management
Cloud data engineering
Databricks
Snowflake
GCP

Tools

Databricks
Snowflake
GCP

Job description

GFT Technologies Poland is seeking an experienced Data Engineer/Architect to design and deliver modern data platforms that support advanced analytics and reporting. You will work with business stakeholders and engineering teams to shape architectural solutions, ensuring data quality, scalability, and performance across cloud environments.

Required 8+ years of experience, strong SQL/Python/Spark (PySpark), and hands-on expertise with Databricks, Snowflake, and GCP.

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