Architect the overall Power BI solution, including data sources, ETL processes, and security layers.
Design and lead the implementation of scalable, high-performance data models in Power BI to support complex reporting requirements.
Optimize Power BI reports for performance, ensuring responsiveness for large datasets.
Ensure that Power BI environments comply with organizational security and compliance standards.
Work closely with data engineers, analysts, and Product Managers to align Power BI architecture with business goals.
Provide thought leadership and guidance on BI best practices, Power BI usage, and self-service BI strategies.
Participate and contribute training sessions and workshops for business users to enhance their understanding of Power BI tools and capabilities.
Continuously optimize Power BI solutions for performance, scalability, and user experience.
Support on Power BI quality, usage and troubleshoot performance issues related to data loading, DAX calculations, and report rendering.
Stay up-to-date with the latest Power BI features, trends, and industry best practices.
Oversee the deployment of Power BI solutions within an enterprise environment and develop / maintain the Enterprise Architecture Roadmap.
Requirements
Master’s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
5+ years of experience in business intelligence, data analytics, or data engineering roles.
3+ years of hands-on experience with Microsoft Power BI architecture, including Power BI Service, Power BI Desktop, and Power BI Embedded.
Proficient in DAX (Data Analysis Expressions) and Power Query (M Language) for advanced reporting solutions.
Strong understanding of data modelling (star schema, snowflake schema), and database design principles.
Proven track record of implementing proof-of-concept (POC) backend solutions.
Experience with relational databases (SQL Server, Azure SQL, etc.) and ETL / ELT processes.
Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)
First proven leadership capabilities towards junior employees and a proactive approach to project management is a plus
Strong analytical & problem-solving abilities, as well as good communication skills
Excellent communication and interpersonal skills for collaborating with cross-functional teams.
Strong willingness to learn and adapt to new technologies and tools
Good proficiency in English as a day-to-day business language is a must
Preferred qualifications :
Strong hands-on understanding of data modelling concepts and techniques as well as DevSecOps concepts and tools and practical experience in their implementation
Strong understanding of DevOps principles and experience with CI / CD pipelines
Working experience within the SAFE Agile framework is appreciated
Knowledge of SAP BW (extractors, transformations, queries, data export) and Azure Data Sources would be appreciated