Data Architect (Azure & Databricks) 15571

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a senior Data Architect (Azure & Databricks)

What you will work on:

• Act as domain-level Data Architect and technical lead for a stable product team
• Design and own end-to-end scalable data architecture aligned with enterprise standards
• Define solution architecture, data models, and integration patterns
• Work hands-on with Azure analytics services including Databricks, ADLS, SQL DB, ADF, and Power BI
• Support environment setup and configuration when needed
• Collaborate with Data Product Owners, Data Engineers, Data Analysts, and Data Scientists
• Participate in architecture forums and contribute to data governance and best practices
• Define technical roadmaps and support backlog prioritization with product leadership
• Ensure long-term maintainability, quality, and performance of data solutions
• Communicate architectural decisions with business stakeholders and enterprise architects

What you bring:

• 10+ years of experience in data architecture and advanced analytics platforms
• Strong background in Azure analytics stack and Databricks
• Proven experience designing scalable end-to-end data platforms
• Experience with ADLS, Azure Data Factory, SQL databases, and Power BI
• Strong skills in logical and physical data modeling
• Experience working in enterprise architecture and domain-driven setups
• Ability to take technical leadership and guide multiple teams
• Strong communication skills with both technical and business stakeholders
• Experience in large, complex organizations with multiple stakeholders
• Ability to balance strategic architecture work with hands-on implementation