Enterprise Architect Job Scottsdale area,Arizona USA,IT/Tech

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Role Overview

We are seeking a highly experienced Enterprise Architect to define and drive the enterprise technology strategy across Data Platforms, Cloud, AI/ML, Analytics, and Enterprise Integration. The ideal candidate will be responsible for designing scalable, secure, and future-ready architectures leveraging Databricks, Snowflake, Hadoop, Cloud Platforms (AWS/Azure/GCP), APIs, Data Engineering, Automation, and AI/ML technologies. The architect will collaborate with executive leadership, business stakeholders, engineering teams, and customers to build enterprise-scale digital, data, and AI solutions that maximize business value and operational efficiency.

Key Responsibilities

Enterprise Architecture & Strategy
- Define enterprise-wide architecture standards, reference architectures, and technology roadmaps.
- Lead architecture governance, solution reviews, and technology selection decisions.
- Design scalable, resilient, secure, and cost-optimized enterprise platforms.
- Align technology architecture with business objectives and digital transformation initiatives.
- Drive cloud adoption, modernization, and platform engineering programs.
Data Platform Architecture
- Architect enterprise data platforms using Databricks, Snowflake, Hadoop, and cloud-native services.
- Design modern Lakehouse, Data Warehouse, and Data Mesh architectures.
- Define enterprise data governance, metadata management, lineage, and security frameworks.
- Establish data quality, observability, monitoring, and compliance standards.
- Design structured and unstructured data management strategies.
Data Engineering & ETL
- Architect large-scale ETL/ELT frameworks for batch and real-time processing.
- Lead the design of scalable data pipelines across multiple source systems.
- Define data integration patterns using Spark, Databricks, Hadoop ecosystem, and cloud-native services.
- Establish best practices for ingestion, transformation, orchestration, and data delivery.
- Optimize performance and scalability of enterprise data pipelines.
Cloud Architecture
- Design enterprise solutions across AWS, Azure, and GCP.
- Drive cloud migration and modernization initiatives.
- Architect highly available, secure, and scalable cloud platforms.
- Define Infrastructure as Code (IaC), CI/CD, and Dev Ops strategies.
- Ensure cloud governance, security, networking, and Fin Ops best practices.
AI/ML & Advanced Analytics
- Define enterprise AI/ML architecture strategy.
- Architect MLOps frameworks and model lifecycle management.
- Design Generative AI, Agentic AI, RAG, and LLM integration architectures.
- Establish AI governance, monitoring, security, and responsible AI practices.
- Enable business intelligence, predictive analytics, and advanced AI capabilities.
API & Integration Architecture
- Define enterprise integration architecture and API strategy.
- Design microservices, event-driven, and API-first architectures.
- Establish integration patterns using REST APIs, GraphQL, messaging systems, and streaming frameworks.
- Ensure secure, scalable, and reusable enterprise integrations.
Quality Engineering & Test Automation
- Define enterprise testing strategy for data, cloud, APIs, and applications.
- Architect automated testing frameworks for ETL, Data Quality, API, AI/ML, and cloud platforms.
- Drive adoption of CI/CD-integrated quality engineering practices.
- Establish reliability, observability, and performance testing standards.
Leadership & Stakeholder Management
- Act as trusted advisor to business and technology leadership.
- Mentor architects, engineers, and technical leads.
- Lead architecture reviews and technical governance forums.
- Drive innovation…