Senior Data Platform Engineer

About this role

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.    For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. 

What we offer:   • Competitive salary 

• Paid vacation/holidays/sick time 

• Comprehensive benefits package including 401K, medical, dental, and vision care 

• On the job/cross training opportunities 

• Encouraging and collaborative team environment 

• Dedication to safety through our Zero Harm policy

Role Summary  

Johnson Controls Inc. are seeking a   Senior Data Platform Engineer   to design and operate a secure, scalable data platform that powers Workforce Analytics.  

This role is focused on   enabling high-quality, governed data consumption in Snowflake , with a strong emphasis on   secure access patterns for humans, applications, and AI-driven tools .  

In addition, this role will   own and evolve the Posit (RStudio) platform , ensuring data scientists and advanced analysts have a seamless, secure, and performant environment for developing and operationalizing analytical workflows.  

You will work across Data Engineering, Analytics, and Data Integration to ensure data is   trusted, protected, and easily consumable across modern use cases .  

Key Responsibilities  

Secure Consumption Enablement  

• Design and mature   secure data access patterns in Snowflake   for:   

• Analysts and business users  

• Applications and downstream integrations  

• AI/ML tools and agent-based consumers  

• Implement and evolve   RBAC / policy-based access models  

• Define patterns for   least-privilege   access, scoped datasets, and governed sharing  

• Ensure secure handling of   PII and sensitive workforce data  

• Partner with security and governance teams on   auditability and compliance  

• Anticipate future access patterns driven by   AI and automation  

Snowflake Platform & Data Optimization  

• Own and optimize the   Snowflake platform   (performance, compute strategy, cost management)  

• Design best practices for   data organization, modeling layers, and access structures  

• Enable scalable and governed data domains for Workforce Analytics  

Posit Platform Ownership (R / Data Science Enablement)  

• Own and manage the   Posit (RStudio) platform   for Workforce Analytics  

• Ensure secure, performant connectivity between   Posit and Snowflake  

• Enable best practices for:   

• Data access within R environments  

• Package and environment management  

• Reproducibility and version control  

• Support operationalization of   Python & R-based analytics, models, and workflows  

• Partner with data scientists and advanced analysts to improve platform usability  

• Establish patterns for   governed, scalable analytical development  

Transformation & Pipeline Enablement  

• Partner with Data Engineers to   productionize   pipelines using   Coalesce.io  

• Define standards for   modular, reusable, and testable transformation logic  

• Improve pipeline reliability and maintainability  

Data Reliability & Quality  

• Implement and enforce   data quality checks and validation frameworks  

• Ensure reliability of critical workforce datasets (headcount, attrition, recruiting)  

• Troubleshoot data issues with strong lineage awareness  

CI/CD for Data Workflows  

• Build and maintain CI/CD pipelines for   data transformations and platform changes  

• Integrate workflows using   Azure DevOps / GitHub  

• Enable consistent deployment practices across environments  

Data Developer Experience  

• Improve platform usability for engineers, analysts, and data scientists  

• Create reusable templates and patterns across:   

• Snowflake  

• Coalesce  

• Posit workflows  

• Reduce friction while maintaining governance  

Required Qualifications  

• 5+ years in   data engineering or data platform engineering  

• Deep experience with   Snowflake , including performance tuning and access control  

• Strong SQL and experience working with complex data systems  

• Experience with   data transformation tools   (Coalesce.io,   dbt , or similar)  

• Experience designing   data access and security models  

• Experience supporting or working with   R / Posit (RStudio) environments  

Preferred Qualifications  

• Experience enabling   data science platforms or analytical environments  

• Exposure to   Workforce / HR data and PII governance  

• Experience supporting   multi-modal consumption (BI, APIs, AI/ML tools)  

• Familiarity with Azure ecosystem  

• Experience with data quality and observability tooling  

HIRING SALARY RANGE: $100,000-145,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions

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