Senior Data Architect – 14738

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