Senior Data Architect
5 days ago
We're seeking a Senior Power BI Architect to drive Lundbeck's data and analytics transformation using leading cloud technologies.
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.
- Oversee 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 Role:
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.
We are on a mission to provide innovative solutions to Lundbeck, focusing on unlocking our data's value and creating data-driven insights.
As a Senior Power BI Architect, you will have the opportunity to leave your mark by promoting a culture of trust, curiosity, adaptability, and accountability.
Requirements:
- 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.
- Excellent business-focused communication.
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