Senior Data Platform Engineer

Posted Yesterday
Milwaukee, WI, USA
In-Office
100K-145K Annually
Senior level
Other • Security
The Role
Design, operate, and optimize a secure, scalable Snowflake data platform for Workforce Analytics. Enable governed, least-privilege access for users, applications, and AI tools. Own Posit (RStudio) platform connectivity and usability. Partner on transformation pipelines (Coalesce), CI/CD, data quality, and platform governance to support analysts and data scientists.
Summary Generated by Built In

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

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

Skills Required

  • 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 (RBAC, policy-based access)
  • Experience supporting or working with R / Posit (RStudio) environments
  • 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

Johnson Controls Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson Controls and has not been reviewed or approved by Johnson Controls.

  • Retirement Support Retirement support is positioned as a meaningful part of the package through employer 401(k) matching, repeatedly framed as a strong pillar of the overall rewards mix. The matching contribution is described with specific match levels in multiple places, reinforcing perceived value for long-term saving.
  • Leave & Time Off Breadth Time off is presented as comparatively robust, with multiple paid holiday categories, vacation time, and sick time described as generous or “amazing” in places. Paid time off breadth appears to be a consistent contributor to total rewards attractiveness beyond base pay.
  • Flexible Benefits Benefits are described as broad and customizable, spanning standard medical/dental/vision plus optional add-ons like pet insurance, identity protection, and legal support. Tuition reimbursement is repeatedly highlighted as a high-value option supporting professional development.

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The Company
HQ: Chennai
100,000 Employees
Year Founded: 1885

What We Do

At Johnson Controls, we transform the environments where people live, work, learn and play. From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission. Our leading portfolio of building technology and solutions includes some of the most trusted names in the industry, such as Tyco®, York®, Metasys®, Ruskin®, Titus®, Frick®, Penn®, Sabroe®, Simplex®, Ansul® and Grinnell®.

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