Data Platform Solution Architect - Lund

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:
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 an experienced Data Platform Solution Architect to join our dynamic team
What you will work on:
Taking ownership of design and architecture for specific segments of the new data and analysis platform.
Playing an active role in shaping the roadmap for the region’s platform developments.
Providing support to data engineers and other developers.
Gathering requirements and requests from users and stakeholders.
Evaluating and proposing solutions to address various requirements and preferences.
Actively participating in the development process.
Assisting in the management, troubleshooting, and maintenance of regional solutions.
Describing features and user stories for the backlog.
Documenting architecture and solution details.

What you bring:
Design and architecture of data warehouses, data lakes, and data lakehouses.
Microsoft SQL Server / Azure SQL databases and T-SQL.
ETL (Extract, Transform, Load) development.
Business Intelligence concepts.
Data modeling principles.
Information security best practices.
Development in C#.
Data warehouse, data lake, or data lakehouse implementations.
Understanding business needs and translating them into technical solutions.

Meritorious Skills:
Experience with Microsoft Fabric, Azure Synapse, Azure Machine Learning, Power BI, or Databricks.
Exposure to AI, Machine Learning, and advanced analytics.
Proficiency in Data Governance.
Familiarity with Master Data Management and Data Quality Management.
Knowledge of automation languages like Biml.
Proficiency in API design and development (REST, gRPC, SOAP).
Familiarity with messaging services such as RabbitMQ, Kafka, or Azure Service Bus.
Experience in health care operations.
Relevant certifications, especially within Azure technologies.