Senior Data Architect | GCP Platform & Analytics

GFT Technologies Poland; Kraków; Hybrid; PLN 210,000 - 320,000; Full time

Benefits offered by this job

Hybrid work

Benefits package

Training & certifications

Work From Anywhere (up to 140 days/yr)

Job summary

GFT Technologies Poland is seeking an experienced Data Architect/Lead Data Engineer to design and deliver modern data platforms and architectures that enable advanced analytics, reporting, and data-driven decision-making. You will work closely with business stakeholders and engineering teams to define data strategies and scalable solutions.

The role requires 8+ years in data engineering or architecture, strong SQL and Python, Spark/PySpark, and cloud experience on GCP, Databricks, or Snowflake.

Qualifications

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

Responsibilities

• Design and optimize data platform architecture.
• Design and implement data processing frameworks, templates, and solutions.
• Collaborate with business stakeholders and engineering teams.
• Translate business requirements into architectural decisions.
• Drive data quality, metadata management, and governance best practices.
• Support adoption of modern cloud-based data engineering solutions.

Skills

SQL

Python

Spark/PySpark

Data architecture

Cloud data engineering

Tools

Databricks

Snowflake

Google Cloud Platform (GCP)

Job description

GFT Technologies Poland is seeking an experienced Data Architect/Lead Data Engineer to design and deliver modern data platforms and architectures that enable advanced analytics, reporting, and data-driven decision-making. You will work closely with business stakeholders and engineering teams to define data strategies and scalable solutions.

The role requires 8+ years in data engineering or architecture, strong SQL and Python, Spark/PySpark, and cloud experience on GCP, Databricks, or Snowflake.