Senior Data Platform Engineer

Johnson Controls•Glendale, AZ

1d•$100,000 - $145,000

About The Position

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. 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.

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

Nice To Haves

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

Responsibilities

Design and mature secure data access patterns in Snowflake for analysts, business users, applications, 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.
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.
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, and 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.
Partner with Data Engineers to productionize pipelines using Coalesce.io.
Define standards for modular, reusable, and testable transformation logic.
Improve pipeline reliability and maintainability.
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.
Build and maintain CI/CD pipelines for data transformations and platform changes.
Integrate workflows using Azure DevOps / GitHub.
Enable consistent deployment practices across environments.
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.