Make your mark at the world's largest HVAC company! Summary: Daikin Applied Americas is seeking a Senior Power BI / Data Visualization Engineer to design, build, and operate scalable, production-grade data visualization solutions and datasets. This role focuses on delivering high-quality data experiences built on trusted data assets within the Databricks platform. This role operates as part of a unified data platform team, working in close alignment with data engineering, data product owners, and analytics teams to deliver cohesive, scalable, and high-quality data products. You will collaborate with cross-functional partners to translate business requirements into intuitive, performant, and reliable data experiences while ensuring alignment with data models and logic defined within Databricks. This is a high-impact, high-expectation role requiring strong technical expertise in Power BI and modern data visualization practices. We are seeking engineers who operate with a high level of ownership, consistently deliver high-quality work, and help raise the bar for data experience across the organization. Why This Role Matters You will directly shape how data is consumed and trusted across the enterprise. Your work will enable scalable, self-service, and AI-enabled data experiences that drive critical business decisions. This role is ideal for engineers who thrive on hands-on ownership, deliver high-quality visualization solutions at scale, and operate effectively within a product-oriented, Agile delivery model. Essential Duties and Responsibilities: Design, build, and operate scalable, production-grade data visualization solutions and Power BI datasets Design data experiences that emphasize usability, clarity, and intuitive exploration of data Build datasets and visualization-layer transformations that consume and extend data structures defined in Databricks Collaborate with data engineering teams to define appropriate placement of logic between Databricks and visualization layers Own visualization solutions end-to-end in production, including design, development, deployment, monitoring, incident response, root cause analysis, and continuous improvement Design solutions that support large-scale, high-volume data consumption with a focus on performance and reliability Maintain a strong hands-on focus in building and optimizing dashboards and reports Lead technical decisions for visualization approaches, balancing usability, performance, and scalability Collaborate with data engineers, product managers, analysts, and stakeholders to translate requirements into scalable visualization designs Ensure consistent and well-defined business metrics across visualization and data layers Optimize Power BI datasets, dashboards, and queries for performance and cost efficiency Implement monitoring and observability practices for visualization usage and performance Design and implement testing and validation practices, ensuring data accuracy and integrity Diagnose and resolve complex issues across data platform and visualization layers Review, triage, and resolve incidents, performing root cause analysis and implementing durable fixes Ensure data assets are discoverable, well-documented, and organized Implement governance (RLS, workspace management, access controls) Contribute to the evolution of the data visualization and analytics platform Evaluate and recommend appropriate BI and data exploration tools based on use case Stay current with advancements in Power BI, Databricks AI/BI, Genie, and emerging tools Qualifications: Bachelor’s Degree in Computer Science, Information Systems, or a related field. 5+ years Demonstrated experience working with large datasets and translating raw data into visually meaningful insights for decision-makers. Required Knowledge, Skills, and Abilities · Strong hands-on experience building high-quality Power BI dashboards, reports, and datasets Strong understanding of how Databricks data models support downstream visualization Experience working with Databricks and integrating with BI tools Proven ability to make decisions on data logic placement in collaboration with data engineering Strong understanding of performance optimization techniques within Power BI · Experience with SQL, Power Query (M), and data transformation techniques Strong troubleshooting skills across data and visualization layers Strong communication skills and ability to translate business requirements into visualization solutions Demonstrated ability to evaluate and make tradeoffs across usability, performance, scalability, and delivery Strong bias toward execution and delivery with ability to move from concept to production quickly Preferred Knowledge, Skills, and Abilities Experience with Databricks AI/BI capabilities such as Genie Experience with modern BI tools such as Sigma Computing Experience enabling self-service analytics using trusted data assets · Knowledge of data governance, security, and access management Experience working in Agile, product-oriented teams Experience in enterprise-scale environments Familiarity with Infrastructure as Code concepts for BI environments Relevant Power BI, Azure, or data certifications Azure DevOps experience for work tracking Success Traits Strong ownership mindset with accountability for production-ready solutions Ability to balance usability, performance, scalability, and maintainability Excellent collaboration skills across engineering and business teams Strong problem-solving and analytical thinking Ability to make effective decisions in ambiguous situations Strong bias toward execution and delivering value quickly Commitment to continuous learning and improvement Commitment to supporting solutions in production across team boundaries