Hybrid Data Architect: Cloud and Analytics Leader

GFT TECHNOLOGIES SE; Łódź; Hybrid; PLN 276,000 - 365,000; Full time

Job summary

GFT Technologies SE in Łódź, Poland, is seeking a Data Architect to combine deep data-architecture expertise with hands-on experience in modern data platforms, analytics, and cloud technologies. You will advise stakeholders and translate business, data, and analytical requirements into secure, scalable, governed end-to-end data solutions.

You will own the technical design and architectural success of data initiatives, from ingestion and integration through storage, transformation, governance,

Qualifications

• Extensive experience in modern enterprise data architectures.
• Strong modeling across conceptual, logical, and physical layers.
• Deep knowledge of cloud data services and platforms.
• Hands-on analytics, governance, and data management expertise.
• Proficiency with data integration, streaming, and big data tools.

Responsibilities

• Own the technical design and architectural success of data initiatives.
• Design end-to-end data platforms including ingestion, lakes, and warehouses.
• Collaborate with data engineers, analytics engineers, and data scientists.
• Define architecture standards, patterns, and best practices.
• Support pre-sales with architecture diagrams and proposals.
• Ensure data governance, security, and lifecycle management.

Skills

Data architecture

Cloud platforms

Databricks

Snowflake

Azure Synapse

BigQuery

Kafka

dbt

Airflow

Data Factory

AWS Glue

Informatica

Talend

Data governance

Data modeling

ETL/ELT

Streaming data

Security controls

Tools

Databricks

Snowflake

Azure Synapse

BigQuery

Redshift

Kafka

Airflow

dbt

Azure Data Factory

AWS Glue

Informatica

Talend

Job description

GFT Technologies SE in Łódź, Poland, is seeking a Data Architect to combine deep data-architecture expertise with hands-on experience in modern data platforms, analytics, and cloud technologies. You will advise stakeholders and translate business, data, and analytical requirements into secure, scalable, governed end-to-end data solutions.

You will own the technical design and architectural success of data initiatives, from ingestion and integration through storage, transformation, governance,