Sr. Data Engineer - Power BI & Databricks

Location: Dallas, TX Hybrid Mode - 4 days onsite Position Overview: 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 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 (Fabric is preferred not mandatory) • 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: • 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.