Senior Data Platform Architect - Cloud & AI

Johnson Controls; Glendale (CA); Hybrid; USD 180,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Paid vacation/holidays/sick time

Benefits package: 401K/medical/dental/

On-the-job/cross training

Collaborative team environment

Zero Harm safety policy

Job summary

Johnson Controls in Glendale, Wisconsin is seeking an Enterprise Architect, Data Platform, to define the enterprise data architecture strategy and roadmap. You will ensure data platforms, analytics capabilities, AI/ML services, integration frameworks, governance practices, and cloud technologies align with business objectives and architecture standards.

You will collaborate with business leaders, technology teams, data engineering, security, governance, and application teams to build scalable,

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 12+ years of progressive experience in enterprise technology and data architecture.
• 5+ years in Enterprise Architect or Senior Data Architect roles.
• Experience designing and implementing enterprise-scale cloud data platforms.
• Experience leading architecture initiatives across multiple business domains.

Responsibilities

• Define and govern the enterprise data architecture strategy, standards, and roadmap.
• Lead enterprise architecture across Data Lakehouse, real-time streaming, data mesh, and MD M.
• Define architecture standards for batch/real-time processing, APIs, and multi-cloud.
• Architect solutions across AWS, Azure, and GCP environments; leverage Snowflake, Fabric, Kafka, Dbt, Airflow.

Skills

Enterprise Architecture

Data Architecture

Cloud Platforms

AWS

Azure

GCP

Data Governance

API-enabled data access

Security Architecture

Leadership

Education

Bachelor's degree

Master's degree preferred

Tools

Snowflake

Microsoft Fabric

Kafka

Dbt/Coalesce

Fivetran

Airflow

Job description

Johnson Controls in Glendale, Wisconsin is seeking an Enterprise Architect, Data Platform, to define the enterprise data architecture strategy and roadmap. You will ensure data platforms, analytics capabilities, AI/ML services, integration frameworks, governance practices, and cloud technologies align with business objectives and architecture standards.

You will collaborate with business leaders, technology teams, data engineering, security, governance, and application teams to build scalable,