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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Architect, Data Platform - **Company:** Johnson Controls - **Location:** Glendale, CA, United States - **Experience:** Expert - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Application Integration Architecture, Systems Engineering, Architectural Patterns, Microsoft Azure, Cloud Computing, Cloud Engineering, Cyber Security, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Security, Data Virtualization, Data Warehousing, Enterprise Architecture Framework, Internet Security, Machine Learning, Metadata, Meta-Data Management, Microsoft Software, Systems Development Life Cycle, Reference Data, Cloud Services, Data Mesh, Azure Machine Learning, Data Streaming, Virtualization Technology, Web Platforms, Enterprise Data Management, Data Processing, Google Cloud, Enterprise Software Applications, Computer Network Operations, Snowflake, Apache Spark, Multi-Cloud, HybridCloud, Change Data Capture, Togaf, Event Driven Architecture, Microsoft Fabric, Information Technology, Data Analytics, Enterprise Integration, Integration Frameworks, Apache Kafka, Data Management, Data Lakehouse, Stream Processing - **Published:** October 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/enterprise-architect-data-platform-glendale-wi--ba990388-71b1-4047-bc01-2d36cd0cf0e0 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. * Master's degree preferred. * 12+ years of progressive experience in enterprise technology and data architecture. * 5+ years of experience in Enterprise Architect or Senior Data Architect roles. * Proven experience designing and implementing enterprise-scale cloud data platforms. * Experience leading architecture initiatives across multiple business domains and technology organizations. * Experience building and executing an operating model for a Solution Architecture organization with measurable outcomes. Technical Expertise Data Architecture * Data Lakehouse Architecture * Enterprise Data Warehousing * Data Modeling * Data Mesh * Data Products * Master Data Management (MDM) * Metadata Management * Data Governance Cloud Platforms * AWS * Azure * Google Cloud Platform (GCP), * Strategic Thinking * Executive Communication * Enterprise Influence * Business Acumen * Technology Vision * Organizational Leadership * Change Leadership * Cross-Functional Collaboration * Decision Making Under Ambiguity * Mentoring and Coaching Preferred Certifications * TOGAF Certified * Azure Solutions Architect Expert * Snowflake SnowPro Advanced Architect * Certified Data Management Professional (CDMP) * SAFe Architect Certification This position follows a hybrid work model and requires regular in-office collaboration at our Glendale, WI location. Candidates must be legally authorized to work in the United States. Johnson Controls is unable to provide current or future sponsorship for employment visas for this role., Amazon Web Services (AWS), Application Programming Interface (API), Architectural Analysis, Architectural Services, Artificial Intelligence (AI), Best Practices, Building Energy Rating, Building Systems, Business Skills, Centers for Disease Control and Prevention (CDC), Cloud Architecture, Cloud Computing, Coaching, Computer Science, Cross-Functional, Customer Relationship Management (CRM) Systems, Customer Support/Service, Data Analysis, Data Collection, Data Management, Data Modeling, Data Processing, Data Quality, Data Warehousing, DataArchitect Data Modeling Tool, Drug Manufacturing, EEO Regulations, ERP (Enterprise Resource Planning), Emerging Technology, Enterprise Architecture, GCP (Good Clinical Practices), Genetics, HIPAA (Health Insurance Portability and Accountability Act), Healthcare, Higher Education, Hybrid Cloud, Internet Security, Leadership, Machine Learning, Manufacturing Systems, Master Data Management (MDM), Mentoring, Metadata, Microsoft Product Family, Microsoft Windows Azure, Network Operations Center, Printed Circuit Board Design, Quality Management, Regulatory Requirements, Sarbanes-Oxley Act (SOX), Scalable System Development, Scorecarding, Security Architecture, Standards Strategy, Systems Engineering, TOGAF - The Open Group Architecture Framework, Team Player, Technical Strategy, Thermal Management, Virtualization ## Description 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. How You Will Do It Enterprise Architecture Strategy * 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. Data Platform Architecture Leadership 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 Cloud & Technology Leadership * 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. Data Governance & Security * 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. Integration & Enterprise Connectivity 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 * Digital thread architecture * Master and reference data integration Architecture Governance & Leadership * Lead architecture review boards and solution design reviews. * Approve major platform architecture decisions. * Ensure consistency across business units and technology domains. * Develop architecture scorecards, compliance frameworks, and technology standards. * Mentor and influence architects and technology leaders across the organization., * Snowflake * Microsoft Fabric * Kafka * Spark * Dbt * Coalesce * Airflow Architecture Disciplines * Enterprise Architecture * Solution Architecture * Integration Architecture * Security Architecture * Platform Engineering