Senior Azure Databricks and PySpark

Daikin Manufacturing México; Monterrey; Hybrid; MXN 900,000 - 1,400,000; Full time

Job summary

Daikin Applied Americas is seeking a Senior Azure Databricks Data Engineer to join our Data & Analytics team and build scalable, production-grade data solutions across the organization.

This role requires hands-on Azure Databricks, PySpark, Medallion Architecture, and end-to-end data pipeline ownership, plus collaboration with BI, Analytics, and Data Product teams. You will mentor engineers, help define architectural standards, and drive production reliability and cost-efficient design.

Qualifications

• 8+ years hands-on experience in Data Engineering and/or Data Architecture
• Excellent English communication skills, written and verbal

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

Skills

Azure Databricks

PySpark

Data pipelines

Data modeling

Cloud architecture

CI/CD

Tools

Unity Catalog

Terraform

Job description

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.