Senior Power BI Engineer

NewVison•San Francisco, CA

About The Position

The Senior Power BI Engineer designs and implements secure, scalable data solutions that support enterprise reporting and analytics. The role optimizes data processes, maintains business intelligence (BI) environments, and enables self-service analytics through robust data models, ETL pipelines, and metadata or semantic layers. It also creates and supports complex visualizations and mentors teams on data design and management best practices.

Requirements

  • Bachelor’s degree or equivalent experience in application development, database administration (DBA), or data analytics.
  • Strong experience with ETL tools such as SSIS, Informatica, SAP Data Integration Services (DIS), or similar tools.
  • Strong communication skills with business and IT stakeholders.
  • Desire to master modern BI tools.
  • Ability to mentor teams in designing data solutions optimized for analytics.
  • Minimum 5 years of overall IT experience.
  • Minimum 3 years in reporting or reporting-data-related roles.

Nice To Haves

  • API integration and/or development skills.
  • Experience supporting WebFOCUS, Power BI, or similar BI platforms.
  • Metadata management experience.
  • Reporting environment administration experience.
  • Experience translating business requirements into effective data designs.
  • Ability to influence teams and champion proper enterprise-wide data management practices.
  • Passion for mentoring and enabling BI adoption across the organization.

Responsibilities

  • Architect, design, develop, and implement secure, scalable data solutions, including data models, databases, BI semantic (metadata) layers, ETL processes, and integrations.
  • Enable BI resources to support key business decision-making.
  • Optimize reporting and analytics processes to automate data availability and simplify self-service analytics for internal and external customers.
  • Administer and maintain BI data environments, including data connectivity, system performance, datamarts, and security.
  • Create and support simple and complex reports and visualizations.
  • Mentor teams in designing data solutions optimized for analytics.
  • Support BI adoption and champion sound enterprise-wide data management practices.
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