Senior Data Platform Engineer

Johnson Controls; Milwaukee (WI); On-site; USD 100,000 - 145,000; Full time

Benefits offered by this job

Competitive salary

Paid vacation/holidays/sick time

401K, medical, dental, and vision care

On the job/cross training

Collaborative team environment

Zero Harm safety policy

Job summary

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

The role emphasizes governed data consumption in Snowflake with secure access for humans, applications, and AI-driven tools. You will own the Posit (RStudio) platform, ensuring data scientists have a secure, performant environment for analytical workflows, and collaborate with Data Engineering, Analytics, and Data Integration to deliver trusted

Qualifications

• 5+ years in data engineering or data platform engineering.
• Deep experience with Snowflake, including performance tuning and access control.
• Strong SQL and experience with complex data systems.
• Experience with data transformation tools like Coalesce.io or dbt.
• Experience designing data access and security models.
• Experience supporting or working with R / Posit environments.

Responsibilities

• Secure Consumption Enablement: design secure data access patterns in Snowflake for analysts, applications and AI tools.
• Snowflake Platform & Data Optimization: own performance, compute strategy, and cost management.
• Posit Platform Ownership: manage Posit (RStudio) for Workforce Analytics and secure connectivity to Snowflake.
• Transformation & Pipeline Enablement: productionize pipelines and define modular transformation standards.
• Data Reliability & Quality: implement data quality checks and ensure reliability of workforce data.
• CI/CD for Data Workflows: build and maintain CI/CD pipelines for data transformations.

Skills

5+ years data engineering

Snowflake experience

SQL

data platform engineering

RBAC / access models

R / Posit (RStudio) environments

CI/CD for data workflows

Tools

Coalesce.io

dbt

Azure DevOps

GitHub

Job description

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 are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us