About the Company

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

Azure Databricks Data Engineer

Monterrey, Mexico | Hybrid

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

- Databricks Genie
- AI-assisted data engineering tools
- Delta Lake / Delta Live Tables
- Unity Catalog
- Infrastructure as Code / Terraform
- Azure DevOps
- 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)
- LANGUAGE: Advanced/Fluent English required

If you are a Senior Data Engineer who enjoys designing, building, optimizing, and owning production data platforms, we would like to hear from you. Apply now or send me your CV/message me directly.

📌 Senior Azure Databricks and PySpark (Monterrey)
🏢 Daikin Manufacturing México
📍 Monterrey