Enterprise Architect: Data, Cloud & AI Strategy Lead

Ampcus, Inc; Scottsdale (AZ); On-site; USD 180,000 - 240,000; Full time

Job summary

Ampcus Inc is seeking an experienced Enterprise Architect to define and drive technology strategy across data platforms, cloud, AI/ML, analytics and integration. You will design scalable, secure architectures leveraging Databricks, Snowflake, Hadoop and cloud services, while guiding governance and platform engineering programs.

The role collaborates with executives, engineers, and customers to maximize business value, ensure security, and enable digital transformation across the enterprise.

Qualifications

• Proven experience designing enterprise-scale data, cloud, and AI architectures.
• Ability to define architecture standards, roadmaps, and governance.
• Strong leadership and communication with executive stakeholders.

Responsibilities

• Enterprise Architecture & Strategy: Define architecture standards, roadmaps, and governance.
• Data Platform Architecture: Architect data platforms and governance frameworks across Databricks, Snowflake, Hadoop and cloud services.
• Data Engineering & ETL: Design large-scale ETL/ELT pipelines and data delivery.
• Cloud Architecture: Design scalable, secure cloud platforms and IaC strategies.
• AI/ML & Advanced Analytics: Define AI/ML architecture, MLOps, and governance.
• API & Integration Architecture: Define API strategy, microservices, and event-driven patterns.
• Quality Engineering & Test Automation: Establish testing strategies for data, APIs, and cloud apps.
• Leadership & Stakeholder Management: Advise executives, mentor teams, and govern tech strategy.

Skills

Executive stakeholder management

Strategic thinking

Architectural leadership

Cloud architecture

Data platforms design

AI/ML integration

Tools

Databricks Lakehouse

Snowflake

Hadoop Ecosystem

AWS

Azure

GCP

Terraform

Kubernetes

APIs & Integration

Job description

Ampcus Inc is seeking an experienced Enterprise Architect to define and drive technology strategy across data platforms, cloud, AI/ML, analytics and integration. You will design scalable, secure architectures leveraging Databricks, Snowflake, Hadoop and cloud services, while guiding governance and platform engineering programs.

The role collaborates with executives, engineers, and customers to maximize business value, ensure security, and enable digital transformation across the enterprise.