Dev Engineer specializing in Java within ING, collaborating internationally to deliver secure software solutions. Involved in agile practices with cross - functional teams for effective software development.
About the role
- Data Platform Architect leading design of data infrastructure for One Security Platform at Johnson Controls. Collaborating with engineering and AI/ML teams to build a robust, scalable, and secure data platform.
Responsibilities
- Lead the design and evolution of the data infrastructure for our flagship One Security Platform (OSP).
- Define the architecture, technologies, and governance models for data ingestion, storage, analytics, telemetry, and AI model enablement.
- 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.
- 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.
- 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.
Requirements
- 10+ years of experience in software/data engineering, with at least 3 years in a data architect or platform architect role.
- Minimum Bachelor's 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%.
Benefits
- Various relocation packages are available.
Job title
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