Power BI Lead/Manager

Title:Power BI Lead/Manager

Location : Wilmington, DE (onsite 4 day a week)

Duration 12-24mth

Must Have

• Lead technical project delivery teams
• Power BI.
• PySpark
• Pharma Industry exp
• LinkedIn
  
  

We are seeking a highly skilled Power BI Manager with extensive experience in leading technical project delivery teams and managing Power BI development within a data-driven environment. The ideal candidate will have a strong background in Power BI, PySpark, and data engineering, along with the ability to guide a team of BI engineers through complex projects. This role requires a mix of leadership, hands-on technical expertise, and strategic insight to optimize BI solutions and enhance business intelligence capabilities.

Key Responsibilities

• Lead and manage technical project delivery teams, including BI and data engineers, by assigning tasks, tracking progress, and providing hands-on technical guidance.
• Oversee Power BI development and architecture, ensuring best practices, performance optimization, and enterprise-level implementation.
• Provide strategic direction on data modeling, visualization, and report development to drive business insights.
• Work with PySpark and data engineering teams to optimize data pipelines and enhance Power BI integration.
• Optimize Power BI performance using tools such as DAX Studio, ALM Toolkit, Tabular Editor, and capacity metrics analysis.
• Implement and manage CI/CD pipelines and Git for version control and streamlined deployment.
• Drive the adoption of cutting-edge Power BI features, including TMDL (Tabular Model Definition Language) and external tool integrations.
• Collaborate with stakeholders to understand business needs and deliver scalable, data-driven solutions.
• Troubleshoot and resolve Power BI-related challenges, ensuring high availability and reliability.
  
  

Required Qualifications

• Extensive experience in Power BI development, administration, and optimization.
• Proven team management and leadership experience in BI and data engineering projects.
• Strong background in data engineering, including PySpark and scalable data processing techniques.
• Hands-on expertise in Power BI performance tuning, capacity planning, and optimization strategies.
• Experience with enterprise-level Power BI implementations, including advanced data modeling and visualization techniques.
• Strong understanding of CI/CD pipelines, Git version control, and automated deployment strategies.
• Familiarity with TMDL (Tabular Model Definition Language) and Power BI external tools is a major plus.
  
  

Preferred Qualifications

• Experience working in large-scale BI environments with complex datasets.
• In-depth knowledge of Power BI connection modes, including Direct Query and Direct Lake.
• Ability to work in a fast-paced, consulting-oriented environment.