Remote Senior Data Platform Architect — Cloud & Spark

GFT Technologies Poland

Wrocław

Hybrid

PLN 180,000 - 290,000

Full time

42 hours ago
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Benefits offered by this job

Medical insurance
Sport pass
Lunch subsidy
Life insurance
Online training

Job summary

GFT Technologies Poland is seeking an experienced Data Engineer/Architect to design and optimize modern data platforms. You will define data strategies, shape architectures, and ensure scalable, high-quality data solutions across cloud environments.

Applicants should have 8+ years in data engineering/architecture, with strong SQL, Python, Spark, and cloud tooling in GCP. Hybrid work across Polish offices is offered.

Qualifications

  • At least 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 within 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.

Skills

SQL
Python
Spark/PySpark
Data architecture
Data quality
Metadata management
Analytics & reporting
Cloud data engineering
Databricks
Snowflake

Tools

Google Cloud Platform (GCP)
Databricks
Snowflake

Job description

GFT Technologies Poland is seeking an experienced Data Engineer/Architect to design and optimize modern data platforms. You will define data strategies, shape architectures, and ensure scalable, high-quality data solutions across cloud environments.

Applicants should have 8+ years in data engineering/architecture, with strong SQL, Python, Spark, and cloud tooling in GCP. Hybrid work across Polish offices is offered.

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