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Johnson Controls

Enterprise Architect - Data Platform

milwaukee, WI

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About this opportunity

Johnson Controls lists this Enterprise Architect - Data Platform opportunity in milwaukee, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Build your best future with the Johnson Controls team

About Johnson Controls

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, lifecycle services and an industry‑leading field organization, we elevate customer performance, turn goals into real‑world results and help move society forward.

What We Offer

Competitive salary

Paid vacation/holidays/sick time

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

What You Will Do

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.

What We Look For

Required Qualifications

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)

Data & Analytics Technologies

Snowflake

Microsoft Fabric

Kafka

Spark

Dbt

Coalesce

Airflow

Architecture Disciplines

Enterprise Architecture

Solution Architecture

Integration Architecture

Security Architecture

Platform Engineering

Leadership Competencies

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

Work Arrangement and Eligibility

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.

HIRING SALARY RANGE

$180,000-200,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at

#J-18808-Ljbffr

Worksite address

milwaukee, WI, 53244, US

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