Data and AI Architect, Manager

Avanade

. Lead enterprise data, analytics, and AI architecture aligned with client strategy and delivery priorities .

Posted 10/22/2026full-timeUnited StatesSeniorLead💰 $138,500 - $202,375 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing enterprise data platforms using Microsoft Azure Data Services, Databricks, and Snowflake, while leading modernization initiatives and client engagements. Proficient in applying advanced analytics, generative AI, and cloud-native technologies to drive measurable business outcomes.

Highest-signal resume keywords

Enterprise Data ArchitectureMicrosoft Azure Data ServicesData Engineering with Python and SQLGenerative AI ImplementationClient-Facing Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureAnalyticsAI SolutionsCloud-Based Data SolutionsData MigrationIntegrationGovernanceModernization ProgramsTechnical Design

Soft Skills

LeadershipMentoringStakeholder EngagementProblem SolvingCollaboration

Tools & Technologies

Microsoft FabricDatabricksSnowflakeAzure Data ServicesCloud PlatformsDevOpsDataOpsMLOpsAgile MethodologiesSDLC

Certifications & Qualifications

Microsoft Certified Azure Solutions Architect ExpertAzure Data Engineer ProfessionalFabric Analytics EngineerAI Engineer

Industry Keywords

Enterprise Data PlatformsAI ArchitectureAnalytics CapabilitiesTechnical GovernanceDelivery Methodologies

Tech Stack

Tools & technologies

AzureCloudIoTPythonSDLCSQL

About the role

Key responsibilities & impact

Lead enterprise data, analytics, and AI architecture aligned with client strategy and delivery priorities
Translate complex business needs into platform architectures, modernization roadmaps, analytics capabilities, and AI-enabled solutions
Architect and oversee secure, scalable enterprise data platforms using Microsoft Fabric, Azure Data Services, Databricks, Snowflake, SQL, Python, Foundry, and cloud-native technologies
Lead client workshops, architecture reviews, and stakeholder forums
Create reusable assets, accelerators, and delivery methods
Establish architecture governance, quality standards, and technical guardrails
Shape delivery plans through estimation, technical design, governance, and implementation roadmaps
Partner with senior client leaders and account teams to connect investments to measurable outcomes
Provide hands-on technical oversight through implementation
Identify and resolve technical risks, dependencies, and delivery challenges
Guide and mentor architects, engineers, and cross-functional delivery teams
Coordinate with global teams and technology partners
Apply advances in data engineering, generative AI, agentic AI, real-time intelligence, IoT, and cloud platforms

Requirements

What you’ll need

Minimum 7+ years of experience in Data Engineering, Knowledge Engineering, Data Architecture, Analytics, AI, or consulting roles, including 2+ years in a client-facing leadership capacity
Minimum 2+ years leading enterprise-scale Data & AI platform modernization initiatives
Experience supporting or leading deals valued at $2M+ or equivalent enterprise-scale opportunities
Minimum 5+ years designing and implementing enterprise data platforms using Microsoft Azure Data Services, Databricks, Snowflake, Microsoft Fabric, or comparable technologies
Minimum 2+ years architecting cloud-based data solutions
At least 5+ years using Python and SQL for data engineering, analytics, integration, and platform development
Minimum 3+ years delivering large-scale data migration, integration, governance, or modernization programs
At least 2+ years leading client workshops, executive stakeholder engagements, architecture reviews, and technical strategy discussions
Minimum 3+ years working with DevOps, DataOps, MLOps, SDLC, and Agile delivery methodologies
Minimum 2+ years applying Generative AI, machine learning, advanced analytics, or Agentic AI in enterprise environments
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or related quantitative field OR equivalent experience
Microsoft Certified Azure Solutions Architect Expert, Azure Data Engineer Professional, Fabric Analytics Engineer, AI Engineer, or equivalent certification preferred
Ability to work a flexible schedule as business needs require
Ability to travel domestically and internationally as business needs require

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off