Senior Data Warehouse Architect

Unleash innovation in data engineering - craft cutting-edge solutions that shape the future of enterprise analytics!

Wrocław/ Warszawa - based opportunity with hybrid work model (1day/ week in the office).

As a Senior Data Warehouse Architect, you will be working for our client, a leader in financial services, dedicated to transforming data into strategic assets. You will contribute to high-impact projects focused on implementing advanced data integration and streaming solutions, empowering business growth and operational excellence through innovative data architecture.

Your main responsibilities:

• Lead analytical and development activities on the project, focusing on the deployment of a high-performance ODS solution.
• Collaborate in designing modern data processing solutions, leveraging the latest technologies.
• Implement new functionalities to optimize data flows and system performance.
• Work closely with cross-departmental teams to meet key business objectives.
• Analyze and translate complex business and technical requirements into scalable data architectures.
• Support system users and ensure seamless operational performance.

You're ideal for this role if you have:

• Minimum 5 years of experience as a developer or architect in data engineering.
• Hands-on expertise with technologies such as Flink, Kafka, Databricks, and SQL.
• Strong understanding of batch ETLs, real-time decisions, and stream processing.
• Proven ability to design intricate data workflows and integrate large-scale data systems.

It is a strong plus if you have:

• Experience with Spark, CDC (Change Data Capture), Microsoft Azure, IaC (Terraform), Oracle, Python, Java, or other object-oriented languages.
• Higher technical education in a related field.

Language required for the role:

• Polish (fluent), English (intermediate level).

Eligibility to work in the European Union:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

Tech stack

• Data Warehouse Architecture
• Apache Flink
• Apache Kafka
• Databricks
• SQL
• Stream processing
• ETL/Batch Processing
• Apache Spark
• Microsoft Azure
• Python