Azure Data Platform Architect: Data Products & Modernization

Sii Poland; Szczecin; On-site; PLN 230,000 - 320,000; Full time

Benefits offered by this job

Great Place to Work

Solid financial situation

Contracts with the biggest brands

Centre of internal trainings

Many experts you can learn from

Open and accessible management team

Profit sharing

Passion Sponsorship program

Regular integration events and trips

Comfortable and well-equipped offices

MySii app

Medical care

Job summary

Sii Poland is seeking an experienced Senior Data Architect to join a strategic Azure-based data platform initiative that supports enterprise-wide data products, analytics, and reporting.

You will define and govern end-to-end Azure data architecture, lead the design of scalable Data Products and guide engineering on ETL/ELT, streaming and data integration, and drive modernization of legacy reporting and data warehouse solutions. A quarterly visit to the Wrocław office is required.

Qualifications

• Minimum 5 years of experience in data architecture or leadership role.
• Strong hands-on expertise with Azure data services and modern cloud data platforms.
• Proficient in Python, Spark and SQL.

Responsibilities

• Define and govern end-to-end Azure data architecture across ingestion, transformation, and storage.
• Lead design and development of scalable Data Products and guide engineering on ETL/ELT, streaming, and integration.
• Drive modernization of legacy reporting and data warehouse solutions on Azure.
• Provide architectural oversight for SaaS/COTS applications, ensuring security and alignment.

Skills

Python

Spark

SQL

Tools

Azure Data Factory

Azure Databricks

Azure Event Hub

Azure Storage

Azure Functions

Power BI

API Gateways

Job description

Sii Poland is seeking an experienced Senior Data Architect to join a strategic Azure-based data platform initiative that supports enterprise-wide data products, analytics, and reporting.

You will define and govern end-to-end Azure data architecture, lead the design of scalable Data Products and guide engineering on ETL/ELT, streaming and data integration, and drive modernization of legacy reporting and data warehouse solutions. A quarterly visit to the Wrocław office is required.