Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing 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 to join our dynamic team.

What you will work on:

• Lead data architecture activities within the Parts Sales BI & Analytics domain, ensuring scalable, reliable and future-proof solutions
• Translate business needs from stakeholders into robust technical designs and data architecture frameworks
• Drive the design and implementation of data models across relational, dimensional, NoSQL and GraphDB environments
• Architect cloud-based analytics solutions using Azure Data Services, Databricks and related technologies
• Define and support API design, event-driven patterns and streaming solutions using platforms such as Kafka
• Integrate AI/ML capabilities into enterprise data workflows to enable advanced analytics and automation
• Oversee CI/CD practices, infrastructure automation and DevOps routines using Azure DevOps
• Ensure adherence to data governance, GDPR requirements and cloud security best practices
• Produce architectural diagrams, wireframes and documentation to support governance, quality and review processes
• Collaborate closely with cross-functional teams and work on-site at the Gothenburg office

What you bring:

• Minimum 5 years of experience as a Data Architect working on large-scale implementations
• Deep expertise in Azure Data Services, Databricks and modern cloud data ecosystems
• Advanced skills in data modeling across relational, dimensional, NoSQL and GraphDB structures
• Strong understanding of API design, event-driven architecture and streaming technologies such as Kafka
• Experience embedding AI/ML models into enterprise solutions and data pipelines
• Hands-on proficiency with SQL, Python and PySpark for data engineering and validation
• Solid experience with CI/CD, Azure DevOps and infrastructure automation practices
• Strong knowledge of data governance frameworks, GDPR compliance and cloud security standards
• Excellent communication skills with proven ability to engage and manage stakeholders
• Ability to create high-quality architecture documentation, diagrams and wireframes