Power BI Architect Leader

2 weeks ago


Copenhagen, Copenhagen, Denmark H. Lundbeck AS Full time

About the Role:

We are seeking an experienced Power BI architect to lead the implementation and development of Power BI within our Data and Analytics department in Global IT.

Key Responsibilities:

  • Implement best practices in governance, documentation, monitoring, scaling of resources and licenses, and life-cycle management.
  • Contribute to an integrated data architecture within the Data & Analytics department, leveraging platforms such as Snowflake and OneLake.
  • Overseeing automated monitoring of daily production, resource consumption, platform usage, and compliance.
  • Coordinate between the BI platform, business units, and IT infrastructure for production and development.
  • Train users and developers on the platform, enabling them to utilize features and new releases effectively.
  • Provide system support for platform issues and business support for change requests.
  • Build and optimize data models in Power BI and our data platform, Snowflake.

About the Team:

The Business Intelligence team is part of our new Data and Analytics department in Global IT, which currently consists of approximately 25 data, software, and AI engineers.

What You Bring:

  • Demonstrated experience overseeing Microsoft Power BI environments and delivering effective implementations.
  • Strong understanding of governance frameworks and the ability to establish Microsoft and Industry best practices.
  • Expertise in documentation standards, monitoring systems performance, scaling resources appropriately, managing licenses efficiently, and overseeing the entire life-cycle of data analytics solutions.
  • Advanced problem-solving skills with an analytical mindset.
  • Familiarity with data visualization tools like Power BI and Qlik Sense Cloud.
  • Proficiency in data modeling within Power BI and SQL.
  • Hands-on experience with Python, R, and SQL and theoretical knowledge of Kimball dimensional modeling or other data modeling techniques in the context of BI.
  • Understanding principles for designing and implementing cloud applications, specifically within Microsoft Azure.
  • Experience with DevOps Pipeline.


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