Enterprise Architect

Role : Enterprise Architect

Location : Scottsdale AZ (Onsite)

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/Google Cloud Platform), 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.

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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 Google Cloud Platform.

•            Drive cloud migration and modernization initiatives.

•            Architect highly available, secure, and scalable cloud platforms.

•            Define Infrastructure as Code (IaC), CI/CD, and DevOps strategies.

•            Ensure cloud governance, security, networking, and FinOps 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 and adoption of emerging technologies.

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Required Technical Skills

Data Platforms

•            Databricks Lakehouse

•            Snowflake

•            Hadoop Ecosystem (HDFS, Hive, Spark, YARN)

•            Data Warehouse & Data Lake Platforms

•            Delta Lake

•            Data Mesh & Data Fabric

Data Engineering

•            ETL / ELT Architecture

•            Data Pipelines

•            Apache Spark

•            PySpark

•            Kafka

•            Streaming & Real-Time Processing

•            Data Quality & Observability

Cloud Platforms

•            AWS

•            Microsoft Azure

•            Google Cloud Platform (Google Cloud Platform)

•            Cloud Security & Networking

•            Infrastructure as Code (Terraform, CloudFormation)

AI/ML

•            Machine Learning Platforms

•            MLOps

•            Generative AI

•            Large Language Models (LLMs)

•            Agentic AI

•            RAG Architectures

•            Vector Databases

API & Integration

•            REST APIs

•            GraphQL

•            Enterprise Service Bus (ESB)

•            Event-Driven Architecture

•            Microservices

Automation & DevOps

•            CI/CD Pipelines

•            GitHub/GitLab

•            Jenkins

•            Docker

•            Kubernetes

•            Test Automation Frameworks

Database Technologies

•            Snowflake

•            SQL Server

•            PostgreSQL

•            Oracle

•            NoSQL Databases

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Soft Skills

•            Executive stakeholder management

•            Strategic thinking

•            Architectural leadership

•            Strong communication and presentation skills

•            Problem-solving and decision-making

•            Customer engagement and consulting experience

This Enterprise Architect role is ideal for organizations looking to build and modernize enterprise-scale Data, AI, Cloud, and Digital platforms while driving innovation, governance, and business transformation.