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 Solution Architect to join our dynamic team.

What you will work on:

• Develop and validate a solution architecture tailored to organizational data and analysis needs.
• Collaborate with domain architects, technical teams, and expert users to ensure alignment with business goals.
• Consolidate data from multiple departments into a unified platform for analysis and decision support.
• Design and implement ELT processes, data integration workflows, and data modeling.
• Utilize Microsoft-oriented tools such as Azure Synapse Analytics, Data Factory, Databricks, and Power BI to realize lakehouse architecture.
• Support the development of interactive dashboards and reports for data visualization and analysis.
• Ensure the solution adheres to best practices in data quality, security, and governance.
• Facilitate agile project execution while maintaining focus on scalability and efficiency.

What you bring:

• Experience:
• 8+ years in IT and data management, with expertise in complex data platform projects.
• 5+ years in database administration, programming, and system development.
• 5+ years in implementing data architecture and resolving complex issues.
• 3+ years in data modeling, database design, ELT processes, and big data technologies like Apache Spark.
• Recent experience with Microsoft Fabric and lakehouse architecture.
• Technical Skills:
• Proficiency in Python, R, SQL, and Microsoft-oriented tools (Azure Synapse Analytics, Data Factory, Databricks, Power BI).
• Strong knowledge of analytics platform patterns (e.g., Medallion architecture, Data Mesh).
• Expertise in data storage, quality, and security.
• Soft Skills:
• Leadership experience in data projects with a focus on change and project management.
• Ability to translate business requirements into scalable, efficient technical solutions.
• Understanding of organizational data strategies and business goals.
• Fluency in Swedish and English for effective collaboration.
• Education:
• Bachelor’s degree in Computer Science, IT, or a related field.