Senior Data Platform Engineer

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

About the Role

Johnson Controls is seeking a Senior Data Platform Engineer to design and operate a secure, scalable data platform that powers Workforce Analytics. This role focuses on enabling high-quality, governed data consumption in Snowflake, with a strong emphasis on secure access patterns for humans, applications, and AI-driven tools. Additionally, 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.

Responsibilities

• Secure Consumption Enablement
  • Design and mature secure data access patterns in Snowflake for analysts, business users, applications, and downstream integrations, as well as 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, and Posit workflows.
  • Reduce friction while maintaining governance.

Requirements

• 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.

Pay

Hiring salary range: $100,000–145,000. Salary is determined by education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. This role offers a competitive bonus plan based on individual, group, and corporate performance, along with a competitive benefits package.