Data Platform Engineer

At Johnson Controls, you will help build and operate the data platform behind Open Blue, our smart-building platform. In this role, you will build the streaming and lakehouse pipelines that deliver trusted building and energy data to the applications our customers rely on.

Role Overview

We are looking for a Data Platform Engineer with 3+ years of experience to build, deploy, and maintain pipelines on the OpenBlue Data Platform (OBDP). You will work with Kafka, Flink, Spark, Apache Iceberg, and Snowflake alongside senior engineers, and help run them on Azure Kubernetes Service (AKS) with CI/CD and infrastructure as code. This is a hands-on role where you will own well-scoped features end to end, from code to production, and take on more design ownership over time.

Key Responsibilities

• Build and maintain Kafka and Flink streaming jobs for ingestion and transformation.
• Develop and maintain Spark jobs for data processing tasks.
• Write unit and integration tests and contribute to CI pipelines.
• Fix production defects and support SIT, UAT, and deployments.
• Deploy and operate data services and jobs on AKS using Helm and Kubernetes operators.
• Build and maintain CI/CD pipelines and infrastructure as code.
• Set up monitoring, alerting, and dashboards for pipelines and services (Datadog, Azure Monitor, Prometheus, Grafana).
• Support routine database and lakehouse operations, including Iceberg table maintenance and PostgreSQL backups and tuning.

How You Will Do It

• Own the outcome with accountability by delivering well-tested features and following through on commitments.
• Stay close to work by understanding how the data you build is used downstream.
• Look for root causes, improve continuously, and raise issues with candor.
• Work as one team by partnering with engineers, QA, and product, sharing context, and asking for help early.
• Use clear documentation and disciplined engineering practices to support consistency and handoffs.

Qualifications

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
• 3+ years of experience in software or data engineering.
• Hands-on experience with at least two of Kafka, Flink, Spark, Iceberg, or Snowflake, with working knowledge of or eagerness to learn the rest.
• Proficiency in Java, Scala, or Python, and solid SQL skills.
• Understanding of distributed systems basics such as partitioning, fault tolerance, and idempotency.
• Experience with Git, code review, and agile/Jira workflows.
• Hands-on AI-assisted development with Claude Code, GitHub Copilot, or similar, with a critical eye for generated code.

Nice to Have

• Experience with Docker, Kubernetes, and CI/CD pipelines in a cloud environment.
• Exposure to Trino, PostgreSQL, or TimescaleDB.
• Experience with React and TypeScript.
• Azure experience.
• Production experience with AKS, Helm, or Kubernetes operators for Flink, Spark, or Kafka.
• Experience with time-series or IoT data.
• Experience with Terraform or Bicep and GitOps tools (Flux or Argo CD).
• Azure networking and security basics, including VNets, private endpoints, Key Vault, and Entra ID.