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 the 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.