Strategic Data Platform Architect | Cloud & AI

Build your best future with the Johnson Controls team

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, lifecycleservicesand an industry-leading field organization, we elevate customer performance, turn goals into real-worldresultsand help move society forward.

What we offer:

• Competitive salary
• Paid vacation/holidays/sicktime
• 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

As the Enterprise Architect, Data Platform, you will define and govern the enterprise-wide data architecture strategy, standards, and roadmap. You will play a critical role in ensuring data platforms, analytics capabilities, AI/ML services, integration frameworks, governance practices, and cloud technologies align with business objectives and enterprise architecture standards.

This position partners closely with business leaders, technology teams, data engineering organizations, security, governance, and application teams to build scalable, secure, reliable, and cost-effective data platforms that enable digital transformation, advanced analytics, AI initiatives, and enterprise decision-making across the enterprise.

• Define and maintain the enterprise data platform vision, strategy, and multi-year roadmap.
• Establish architectural principles, standards, and reference architectures for enterprise data platforms.
• Develop future-state architecture models supporting analytics, AI/ML, operational reporting, and data products.
• Align data platform investments with business and technology modernization strategies.
• Champion cloud-native architectural patterns and best practices.

Lead enterprise architecture across:

• Data Lakehouse Platforms
• Real-Time Streaming Architectures
• Data Mesh and Data Product Architectures
• Metadata and Data Catalog Solutions
• Master Data Management (MDM)
• Data Quality Frameworks
• AI and Machine Learning Platforms

Define architecture standards for:

• Batch and real-time data processing
• Event-driven architectures
• API-enabled data access
• Data virtualization
• Streaming and Change Data Capture (CDC)
• Multi-cloud and hybrid cloud environment

• Architect solutions across AWS, Azure, and Google Cloud Platform environments.
• Guide platform strategy and usage for technologies including Snowflake, Microsoft Fabric, Kafka, Coalesce/Dbt, and Fivetran.
• Evaluate emerging technologies and provide strategic recommendations to drive innovation and business value.

• Establish enterprise standards for data governance, lineage, quality, metadata management, retention, and compliance.
• Ensure architectures support regulatory requirements including GDPR, CCPA, SOX, HIPAA (where applicable), and cybersecurity standards.
• Partner with Information Security teams to define secure data access models and protection controls.

Define enterprise integration strategies spanning:

• ERP Platforms
• CRM Systems
• Digital Platforms
• Supply Chain Applications
• Manufacturing Systems
• Customer Service Platforms

Establish standards for:

• APIs and integration services
• Data contracts
• Event architectures
• Dig…