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 PySpark/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 PySpark/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 PySpark / 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