Data Platform Engineer

Job description:

Data Platform Engineer

At Johnson Controls, you will help build and operate data platforms that enable trusted analytics and decision-making across the business. In this role, you will support a secure, scalable environment for data consumers and help advance how teams' access and use governed data.

Role Overview

We are looking for a Data Platform Engineer with 3-6 years of experience to support the design, operation, and improvement of a modern data platform. You will work with Snowflake and related data engineering tools to enable high-quality, secure, and well-governed data consumption for analysts, data scientists, and business stakeholders. This is a hands-on role focused on reliability, access patterns, and platform enablement.

Key Responsibilities

• Design, build, and operate a secure and scalable data platform in Snowflake.
• Support governed data consumption by implementing reliable structures, access patterns, and platform controls.
• Collaborate with data consumers to understand needs and remove friction in how they access and use data.
• Develop and maintain data pipelines, transformations, and supporting workflows for analytics use cases.
• Implement secure access patterns for humans, applications, and AI-driven tools.
• Monitor platform health, troubleshoot issues, and improve performance, stability, and usability.
• Support the Posit (RStudio) platform used by data scientists and advanced analysts.
• Document platform processes, data workflows, and operational standards.
• Work closely with analytics, engineering, and business teams to support data quality and platform adoption.

How You Will Do It

• Own the outcome with accountability by delivering reliable, secure, and well-controlled platform services.
• Stay close to the work by understanding how analysts, data scientists, and business teams actually use the platform.
• Look for root causes, improve the platform continuously, and address issues with candor and practical problem-solving.
• Work as one team by partnering across technical and business groups, sharing context, and building trust.
• Balance speed and control so the platform remains useful, safe, and maintainable as demand grows.
• Use clear documentation and disciplined operating practices to support consistency and handoffs.

Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• 3-6 years of experience in data engineering, data platform engineering, or a closely related role.
• Hands-on experience with Snowflake and modern cloud data platform concepts.
• Strong SQL skills for data manipulation, validation, and troubleshooting.
• Experience building or supporting data pipelines, transformations, or analytics data models.
• Working knowledge of data governance, secure access, and data quality practices.
• Experience collaborating with technical and non-technical stakeholders.
• Strong documentation, communication, and problem-solving skills.

Nice to Have

• Experience with Posit (RStudio), Python, or other analytics development environments.
• Exposure to Azure Data Factory, Fivetran, Snowpark, dbt, or Airflow.
• Experience supporting workforce analytics or other business intelligence environments.
• Familiarity with CI/CD practices, Git, or Azure DevOps.
• Exposure to secure access patterns for application, service, or AI-based data consumption.