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:

• Acting as senior data architect within the BI & Analytics domain for Parts Sales
• Translating business stakeholder needs into scalable, secure, and efficient data architecture solutions
• Designing and owning data architectures for large-scale enterprise implementations
• Building and evolving solutions using Azure Data Services, Databricks, and the surrounding cloud ecosystem
• Defining and applying data models including relational, dimensional, NoSQL, and GraphDB
• Designing and integrating APIs, event-driven architectures, and streaming solutions such as Kafka
• Enabling AI and ML integration into enterprise data platforms and analytics workflows
• Establishing and maintaining CI/CD pipelines, infrastructure automation, and DevOps practices using Azure DevOps
• Ensuring data solutions comply with governance frameworks, GDPR, and cloud security best practices
• Producing architectural documentation, diagrams, wireframes, and material required for governance and review forums
• Collaborating closely with business stakeholders, analysts, engineers, and platform teams on-site in Gothenburg

What you bring:

• Proven senior-level experience as a Data Architect with responsibility for large-scale data platforms
• Deep expertise in Azure Data Services, Databricks, and modern cloud-based data ecosystems
• Advanced proficiency in data modeling techniques including relational, dimensional, NoSQL, and graph-based models
• Strong understanding of API design, event-driven architectures, and streaming platforms such as Kafka
• Experience integrating AI and ML capabilities into enterprise data and analytics solutions
• Hands-on experience with CI/CD pipelines, Azure DevOps, and infrastructure automation
• Strong skills in SQL, Python, and PySpark for data engineering, validation, and architectural proofing
• Solid knowledge of data governance, GDPR compliance, and cloud security principles
• Excellent stakeholder management and communication skills, with the ability to bridge business and technology
• Experience creating clear, structured architectural documentation and diagrams