Senior Data Architect - 14831

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:

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