Senior Data Architect - 14738

Om jobbet

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