Senior Data Engineer Power BI & Databricks

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, 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 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:

o Databricks (PySpark, Delta Lake, SQL)

o Power BI (DAX, Power Query, Data Modeling)

o 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.