PowerBI Developer

Senior Power BI (with data engineering skillset)

The Senior Power BI (with data engineering skillset) will play a key role in designing, developing, and optimizing data models, metrics, and reports that drive data-informed decision-making across the organization. This role combines strong Power BI visualization expertise with advanced data engineering skills in Databricks, ensuring high-quality, scalable data products for both enterprise reporting and self-service analytics use cases.

• Candidate must physically work at Store Support Center, located in Coppell, TX;
  Monday – Thursday. Friday is WFH until further notice
• If the candidate opts to relocate to the DFW area, relocation assistance will NOT be provided

• Design, develop, and maintain interactive Power BI dashboards and reports for various business domains (finance, operations, marketing, etc.).
• Power BI/Fabric Reporting & Visualization
• Leveraged Microsoft Fabric for end-to-end data architecture – integrating Lakehouse, Data Flows, and Direct Lake models to power advanced Power BI analytics.
• Create semantic models and DAX measures that are intuitive and optimized for performance.
• Collaborate with business users to translate requirements into visual insights and define KPI frameworks.
• Implement row-level security (RLS) and governance standards within Power BI workspace environments.
• Support self-service BI adoption by developing certified datasets and user-friendly data models.
• Design and build data pipelines and curated layers (Bronze, Silver, Gold) within Databricks using Unity Catalog, PySpark / SQL / Delta Lake.
• Develop metric layers and data marts in Databricks to support Power BI and other analytical tools.
• Ensure data quality, consistency, and accuracy through robust data validation and monitoring processes.
• Implement performance tuning and cost optimization best practices for Databricks jobs and clusters.
• Collaborate with the data governance and architecture teams to align data models with enterprise standards.
• Develop and maintain automated testing frameworks for data validation using Python, PySpark, or Databricks notebooks.
• Integrate automated tests into CI/CD pipelines (Azure Dev Ops, Git Hub Actions, etc.).
• Build reusable data validation scripts leveraging Databricks and other data testing tools.
• Work closely with data engineers, data modelers, BI developers, and governance teams to define testing standards.
• Participate in code reviews and data quality reviews to ensure compliance with QA standards.
• Document test cases, results, and maintain traceability between business requirements and validation outcomes.
• Partner with business analysts, product owners, and stakeholders to identify new reporting opportunities.
• Work closely with data governance, QA, and Dev Ops teams to ensure compliant, secure, and automated delivery.
• Provide technical leadership and mentorship to junior engineers on best practices for BI and data engineering.
• Support the development of metadata-driven frameworks and data catalogs to enable discoverability and reusability.

• Strong expertise in Power BI development
  .
• Hands-on experience working with cloud platforms (AWS, Azure, or Google Cloud).
• Experience with CI/CD tools like Azure Dev Ops
  , Git Hub Actions
  , or Terraform for infrastructure-as-code.
• Familiarity with data modeling, data warehousing, and database design.
• Strong understanding of data formats such as Parquet
  , ORC
  , JSON
  , and Avro
  .
• Ability to work in an agile environment and adapt to changing requirements.
• Strong analytical and problem-solving skills with a focus on optimizing data engineering solutions.
• Study, analyze and understand business requirements in context to business intelligence.
• Spot key performance indicators with apt objectives.
• Make essential technical and strategic changes to improvise present business intelligence systems.
• SQL querying for better results.

• Bachelor’s or master’s degree in computer science, Information Systems, or a related field.
• 8 years of experience in data engineering and BI development.
• Strong hands-on experience with:
• Databricks (PySpark, Delta Lake, SQL)
• Power BI (DAX, Power Query, Data Modeling)
• Azure Data…