Job Description

The Senior Data Engineer Power BI & Databricks Reporting 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 with Unity Catalog, ensuring high-quality, scalable data products for both enterprise reporting and self-service analytics use cases.

Key Responsibilities:

Power BI Reporting & Visualization

• 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.

Databricks & Data Engineering

• 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.

Collaboration & Governance

• Partner with business analysts, product owners, and stakeholders to identify new reporting opportunities.
• Work closely with data governance, QA, and DevOps 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.

Required Skills & Experience:

• Bachelor s or master s degree in computer science, Information Systems, or a related field.
• 5 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 Services (Data Lake, Synapse, ADF preferred)
• Proven ability to develop and maintain metric frameworks for enterprise reporting.
• Experience implementing CI/CD pipelines for Power BI and Databricks deployments (nice to have).
• Strong understanding of data modeling, ETL design, and data architecture principles.
• Excellent analytical thinking, problem-solving, and stakeholder communication skills.
• Creation of a reusable, well-governed metric layer in Databricks for enterprise use.
• Improved data reliability, transparency, and self-service enablement across teams.

Preferred Qualifications:

• Knowledge of modern data architecture patterns (Medallion Architecture, Data Mesh).
• Prior experience in food, beverage, retail, or gaming industries (plus).
• Microsoft Power BI Data Analyst Associate or Databricks Data Engineer certification preferred.
• Delivery of high-quality, automated Power BI dashboards that align with business metrics.
• Demonstrated collaboration with cross-functional teams to enable a data-driven culture.

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