Daikin Applied Americas is looking for a Senior Azure Databricks Data Engineer to join our Data & Analytics team and help build and evolve scalable, production-grade data solutions across the organization.
About the Role
This is not a traditional ETL or BI-focused Data Engineer role. We are looking for a highly hands-on engineer with deep, recent experience in Azure Databricks, strong Py Spark/Spark skills, and proven experience owning data solutions from architecture and development through production support and optimization.
Responsibilities Design, build, and operate scalable data pipelines and data products within Azure Databricks Own data solutions end-to-end, from architecture and development through deployment, monitoring, production support, and continuous improvement
Design and evolve Medallion Architecture and foundational data models Develop and optimize large-scale Py Spark/Spark workloads Troubleshoot complex distributed data systems and perform root cause analysis
Establish data quality, testing, observability, and reliability practices
Optimize solutions for performance, scalability, and cost
Contribute to architectural decisions and engineering standards
Collaborate with BI, Analytics, Data Visualization, and Data Product teams
Mentor other engineers and contribute to a high-performance engineering culture Qualifications 8 years of hands-on experience in Data Engineering and/or Data Architecture Advanced/Fluent English communication skills, both written and verbal Required Skills Strong, recent experience with Azure Databricks as a primary data engineering platform
Advanced hands-on experience with Py Spark / Apache Spark




Experience designing and implementing production-grade data pipelines and data products
Hands-on experience with Medallion Architecture (Bronze / Silver / Gold) or similar layered data architectures
Experience designing data models, ingestion frameworks, and scalable data solutions
Proven experience with Spark/Databricks performance optimization, scalability, and cost efficiency
Experience with production monitoring, troubleshooting, incident response, and root cause analysis
Experience with CI/CD for data pipelines and Databricks environments
Strong understanding of cloud-based data platforms, preferably within Azure
Ability to make architectural and technical decisions and evaluate trade-offs between performance, scalability, cost, maintainability, and delivery
Strong communication skills and the ability to collaborate with Data, Analytics, BI, and cross-functional teams Preferred Skills AI-assisted data engineering tools
Unity Catalog
Infrastructure as Code / Terraform
Data governance and security
Experience working with enterprise-scale data platforms Additional Information IMPORTANT Databricks experience must be recent and hands-on. We are specifically looking for professionals who have used Azure Databricks as a primary data engineering platform, not candidates whose experience is limited to training, occasional exposure, or primarily traditional ETL/SQL environments.
LOCATION: Monterrey, Mexico
WORK MODEL: Hybrid (More remote than on place) If you are a Senior Data Engineer who enjoys designing, building, optimizing, and owning production data platforms, we would like to hear from you.
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📌 Senior Azure Databricks And Pyspark (Ejido de la Finca)
🏢 Daikin Manufacturing México
📍 Ejido de la Finca