Data Platform Architect (hybrid)

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 100000 experts in more than 150 countries and over 130 years of innovation we are the power behind our customers mission.

About Security Access Control Business

When Fortune 500 corporations government customers or any other enterprise applications concerned with critical security issues need a reliable solution in their day to day operations more often than not they turn to Johnson Controls and its security and event management technologies currently installed in thousands of facilities worldwide. Johnson Controls has built a solid reputation in the security industry as an innovator of security and event management technologies. With its continuous investment in R&D and the ability to leverage new technologies Johnson Controls has reached technological excellence.

What you will do

Johnson Controls is seeking a a Data Platform Architect to lead the design and evolution of the data infrastructure for our flagship One Security Platform (OSP). This platform serves as the foundation for our next-generation access control video management and AI-powered security solutions. You will have the opportunity to define the architecture technologies and governance models for data ingestion storage analytics telemetry and AI model enablement. You will partner with engineering product AI/ML and cloud operations teams to build a robust scalable and secure data platform that powers real-time insights analytics and intelligent automation. This is a hybrid position. Candidates must be commuting distance to Westford MA or able to relocate. Various relocation packages are available.

How you will do it

• Design and evolve the end-to-end data platform architecture that supports telemetry event streams metadata logs system health analytics and ML pipelines.

• Define data modeling standards retention policies partitioning and lifecycle strategies for structured and unstructured data across the OSP ecosystem.

• Partner with AI/ML architects and analytics teams to ensure that the data platform supports training inferencing real-time analytics and alerting use cases.

• Lead the selection and integration of data technologies (e.g. Kafka Redshift TimeScaleDB S3 etc.) aligned to performance cost and reliability goals.

• Ensure compliance with regulatory privacy and security standards (e.g. GDPR SOC2 NDAA FIPS) for data at rest in motion and in use.

• Build and maintain telemetry pipelines that feed dashboards observability tools and proactive health monitoring for platform services.

• Collaborate closely with platform cloud product and QA teams to ensure data availability correctness lineage and operational efficiency.

• Provide technical leadership and mentorship to developers data engineers and analytics stakeholders.

• Maintain a roadmap for continuous improvement of the data platform with evolving business needs and technology trends.

What you will need
Required

• 10 years of experience in software/data engineering with at least 3 years in a data architect or platform architect role.

• Minimum Bachelors degree in a technical or engineering related field.

• Experience designing cloud-native multi-tenant data platforms for SaaS applications (preferably on Azure AWS or GCP).

• Deep expertise in event-driven data pipelines streaming frameworks (Kafka) and big data storage systems.

• Strong hands-on experience with data lake/data warehouse technologies columnar databases and time-series storage.

• Understanding of DevOps practices CI/CD integration for data services and infrastructure-as-code tools (Terraform CloudFormation).

• Strong understanding of security encryption access control and compliance for enterprise-grade data environments.

• Exceptional communication and documentation skills able to evangelize architecture and drive alignment across cross-functional teams.

• Able to travel 5-10%

Preferred

• Experience with security IoT or real-time telemetry systems (video access control sensor data etc.).

• Familiarity with observability stacks (Prometheus Grafana Datadog ELK) and distributed tracing.

• Exposure to ML/AI pipelines model training and serving architectures or time-series analytics for anomaly detection.

• Experience designing for scalability across global deployments and regulatory zones.