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Perficient

Perficient

Global digital consultancy delivering IT solutions

Azure AI Data Architect

Full-Time
$82k - $178.1k/yr
Expert
Bachelor's, Master's
United States
In Person

About the job

Requirements
  • A Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field is required.
  • At least 10 years of experience in Data Engineering, Data Architecture, Analytics, or Cloud Solutions Architecture is required.
  • At least 5 years of hands-on experience designing and implementing solutions on Microsoft Azure is required.
  • Proven experience architecting enterprise-scale data platforms, including data lakes, data warehouses, and lakehouse architectures, is required.
  • Strong expertise in Azure Data Services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL, and Azure Data Lake Storage Gen2, is required.
  • Experience designing and implementing artificial intelligence, machine learning, and generative artificial intelligence solutions using Azure AI Services, Azure Machine Learning, Azure OpenAI, and Azure AI Foundry is required.
  • Strong hands-on programming skills in Python, SQL, Spark, and PySpark are required.
  • Experience implementing Retrieval Augmented Generation, vector databases, prompt engineering, and large language model-based applications is required.
  • Deep understanding of data modeling, ETL/ELT frameworks, data integration patterns, and real-time data processing is required.
  • Experience with cloud security, governance, privacy, and compliance frameworks, including Microsoft Purview and Azure security services, is required.
  • Strong knowledge of DevOps practices, continuous integration and continuous delivery pipelines, Infrastructure as Code using Terraform, Bicep, or ARM Templates, and MLOps is required.
  • Experience leading architecture reviews, technical design discussions, and mentoring engineering teams is required.
  • Excellent communication and stakeholder management skills, including the ability to engage executives, business leaders, and technical teams, are required.
Responsibilities
  • Design and implement enterprise-scale data platforms leveraging Azure cloud services.
  • Define data architecture standards, governance frameworks, and best practices.
  • Develop scalable data lake, lakehouse, and data warehouse architectures.
  • Design robust data integration, ingestion, transformation, and orchestration frameworks.
  • Architect artificial intelligence and machine learning solutions using Azure AI services and Azure Machine Learning.
  • Design and implement generative artificial intelligence solutions leveraging Azure OpenAI Service and Azure AI Foundry.
  • Establish MLOps and AI governance frameworks for model deployment, monitoring, and lifecycle management.
  • Collaborate with data scientists and AI engineers to operationalize predictive and generative AI solutions.
  • Provide architectural leadership for Azure-based modernization and cloud migration initiatives.
  • Evaluate emerging Azure Data and AI technologies and recommend adoption strategies.
  • Ensure high availability, scalability, security, and performance of enterprise data platforms.
  • Drive cloud cost optimization and operational excellence initiatives.
  • Translate business requirements into technical architecture solutions.
  • Present architectural recommendations and roadmaps to executive leadership.
  • Mentor engineering teams and establish architecture best practices.
  • Lead architecture reviews and participate in strategic planning discussions.
  • Provide best-fit architectural solutions for one or more projects.
  • Assist in defining project scope and sizing work.
  • Anchor proof-of-concept development.
  • Provide solution architecture for business problems.
  • Perform platform integration with third-party services.
  • Design and develop complex features for clients' business needs.
  • Participate in sales and client pursuits focused on client business needs.
  • Contribute to thought leadership, systems analysis, architecture, design, configuration, testing, debugging, and documentation.
Desired Qualifications
  • Experience with Microsoft Fabric and enterprise analytics modernization initiatives.
  • Experience building production-grade generative AI applications and AI copilots.
  • Knowledge of Responsible AI, AI Governance, and AI Risk Management practices.
  • Experience with Azure Kubernetes Service, containerization, and microservices architecture.
  • Industry experience in Financial Services, Healthcare, Energy, Manufacturing, or Retail.
  • Consulting or client-facing architecture experience.
  • Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
  • Microsoft Certified: Azure Data Engineer Associate (DP-203).
  • Microsoft Certified: Azure AI Engineer Associate (AI-102).
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
  • Databricks Certified Data Engineer Professional.

About the company

Perficient is a global digital consultancy that provides IT and business consulting services to large enterprises. It helps organizations design and deliver IT and digital solutions, with services spanning business analysis, portal development, and AI-powered digital initiatives. Its offerings are carried out through a global delivery network across the United States, Latin America, India, and Europe, combining strategists and technologists to execute projects from strategy through implementation. The company differentiates itself by leveraging a broad, multinational delivery footprint and pursuing strategic acquisitions to expand its capabilities and market reach, enabling it to serve Forbes Global 2000 and other large enterprise clients across multiple industries. The goal is to help enterprises transform digitally, using data analytics, cloud computing, and AI to achieve measurable business outcomes and improved performance.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Austin, Texas

Founded

1998

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Simplify's Take

What believers are saying

  • Perficient launched an AI-native brand on March 26, 2026, signaling demand traction.
  • Gradial and Sitecore partnerships position Perficient inside enterprise marketing workflows immediately.
  • Adobe Summit 2026 demos in healthcare and B2B showcase monetizable, industry-specific AI use cases.

What critics are saying

  • EQT ownership pressures margins, headcount, and integration discipline after the 2026 take-private.
  • Perficient depends on Salesforce, Microsoft, Adobe, and WRITER partnerships for growth.
  • If agentic AI delivery commoditizes, boutique consultancies and hyperscalers can squeeze Perficient fast.

What makes Perficient unique

  • Perficient became EQT private in 2026, keeping Tom Hogan and St. Louis headquarters.
  • Perficient won Microsoft AI Business Solutions Inner Circle status for 2025-2026.
  • Perficient deepened Salesforce Agentforce, Data Cloud, and Revenue Cloud through Kelley Austin, October 2025.

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Benefits

Hybrid Work Options

Remote Work Options

Company News

Associated Press
Jul 8th, 2026
Perficient and Gradial partner to bring agentic marketing to Fortune 500 brands

Perficient, a global AI and technology consulting firm, has partnered with Gradial, an agentic orchestration platform, to deliver agentic marketing execution to Fortune 500 brands. The partnership enables AI agents to handle marketing execution across channels whilst humans direct strategy and creative work. Gradial's platform orchestrates AI agents that author, activate, and optimise content across existing enterprise systems including DAM, CMS, and analytics platforms. The platform compresses work from days into hours. The firms are co-developing industry-specific solutions including Zero-Ops Content Pipeline and Regulated Content Automation. Perficient has established a Gradial Center of Excellence and implemented the platform on its own website. Gradial's clients include T-Mobile, AWS, and Prudential.

Business Wire
Oct 13th, 2025
Perficient Deepens Salesforce AI, Agentforce, and Data Capabilities Through Acquisition of Kelley Austin

Today, Perficient announced the acquisition of Kelley Austin, an award-winning Salesforce consulting partner.

StockTitan
May 5th, 2024
Perficient Acquired by EQT for $3B

Perficient, Inc. is set to be acquired by EQT in an all-cash transaction valued at approximately $3.0 billion, or $76.00 per share, a 75% premium over its April 29, 2024, stock price. The deal, expected to close by the end of 2024, will take Perficient private and maintain its headquarters in St. Louis. This acquisition marks a strategic expansion for EQT in the digital consulting sector. Post-deal, Perficient's shares will cease trading on NASDAQ.

Business Wire
Oct 21st, 2023
Perficient Reaches Definitive Agreement to Acquire SMEDIX, INC.

Perficient announced today it has entered into a purchase agreement to acquire SMEDIX, Inc., a healthcare software engineering firm.

Business Wire
Oct 13th, 2022
Perficient Announces Acquisition of Brainjocks

Perficient today announces the acquisition of Brainjocks, a $13 million annual revenue digital consultancy with a strong Sitecore platform focus.