Data Architect

• 8+ years of experience in data-related roles with advanced architectural background.
• Proven expertise as a Data Architect in enterprise-scale projects.
• Strong knowledge of Azure Data Platform and Databricks .
• Experience working with Data Lake architectures .
• Proficiency in SQL and deep understanding of data processing architectures .
• Excellent communication and stakeholder management skills (business & technology).
• Proficiency in English and Polish (required).

Nice to Have:

• Knowledge of Apache Spark , Hive , or Impala .
• Expertise in Data Governance and Customer Data Platforms (CDP) .
• Experience within the financial industry .

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.  

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.  

 

Join Our Client as a Data Architect!

We are looking for an Expert-level Data Architect to design and implement the architecture of modern data platforms in a cloud environment (Azure, Databricks) . This is an opportunity to define integration standards, ensure scalability, and drive strategic data initiatives.

Sounds like your kind of challenge? 

#LI-Hybrid - 1- 2 times a week in the Warsaw office (depending on the manager)What you get in return

• Flexible cooperation model  
• Hybrid work setup – 1- 2 times a week in the Warsaw office (depending on the manager) - remote days available depending on the client’s arrangements 
• Collaborative team culture – work alongside experienced professionals eager to share knowledge 
• Continuous development – access to training platforms and growth opportunities 
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more 
• High quality equipment – laptop and essential software provided 

,[Design architecture for advanced data platforms ensuring scalability and performance., Define standards for data modeling and integration across the enterprise., Develop conceptual designs for solutions based on Azure and Databricks., Collaborate closely with data engineering and analytics teams., Assess quality, scalability, and efficiency of implemented solutions., Support strategic technology decisions and ensure alignment with best practices., Maintain documentation and risk assessments for data architectures.] Requirements: Data Lake, Azure Data, Stakeholder management, Apache Spark, Hive, CDP