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 MattersYou 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 idóneo 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 datasetsDesign data experiences that emphasize usability, clarity, and intuitive exploration of dataBuild datasets and visualization‑layer transformations that consume and extend data structures defined in DatabricksCollaborate with data engineering teams to define appropriate placement of logic between Databricks and visualization layersOwn visualization solutions end‑to‑end in production, including design,



development, deployment, monitoring, incident response, root cause analysis, and continuous improvementDesign solutions that support large‑scale, high‑volume data consumption with a focus on performance and reliabilityMaintain a strong hands‑on focus in building and optimizing dashboards and reportsLead technical decisions for visualization approaches, balancing usability, performance, and scalabilityCollaborate with data engineers, product managers, analysts, and stakeholders to translate requirements into scalable visualization designsEnsure consistent and well‑defined business metrics across visualization and data layersOptimize Power BI datasets, dashboards, and queries for performance and cost efficiencyImplement monitoring and observability practices for visualization usage and performanceDesign and implement testing and validation practices, ensuring data accuracy and integrityDiagnose and resolve complex issues across data platform and visualization layersReview, triage, and resolve incidents, performing root cause analysis and implementing durable fixesEnsure data assets are discoverable, well‑documented, and organizedImplement governance (RLS, workspace management, access controls)Contribute to the evolution of the data visualization and analytics platformEvaluate and recommend appropriate BI and data exploration tools based on use caseStay current with advancements in Power BI, Databricks AI/BI, Genie, and emerging toolsQualifications: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 datasetsStrong understanding of how Databricks data models support downstream visualizationExperience working with Databricks and integrating with BI toolsProven ability to make decisions on data logic placement in collaboration with data engineeringStrong understanding of performance optimization techniques within Power BI ·Experience with SQL, Power Query (M), and data transformation techniquesStrong troubleshooting skills across data and visualization layersStrong communication skills and ability to translate business requirements into visualization solutionsDemonstrated ability to evaluate and make tradeoffs across usability, performance, scalability, and deliveryStrong bias toward execution and delivery with ability to move from concept to production quicklyPreferred Knowledge, Skills, and AbilitiesExperience with Databricks AI/BI capabilities such as GenieExperience with modern BI tools such as Sigma ComputingExperience enabling self‑service analytics using trusted data assets · Knowledge of data governance, security, and access managementExperience working in Agile, product‑oriented teamsExperience in enterprise‑scale environmentsFamiliarity with Infrastructure as Code concepts for BI environmentsRelevant Power BI, Azure, or data certificationsAzure DevOps experience for work trackingSuccess TraitsStrong ownership mindset with accountability for production‑ready solutionsAbility to balance usability, performance, scalability, and maintainabilityExcellent collaboration skills across engineering and business teamsStrong problem‑solving and analytical thinkingAbility to make effective decisions in ambiguous situationsStrong bias toward execution and delivering value quicklyCommitment to continuous learning and improvementCommitment to supporting solutions in production across team boundaries#J-18808-Ljbffr

📌 Power Bi Developer (Monterrey)
🏢 Daikin Manufacturing México
📍 Monterrey