Data and AI Architect Manager

Avanade Inc.

Seattle (WA)

On-site

USD 150,000 - 189,000

Full time

13 hours ago

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Job summary

Avanade is seeking a Data and AI Architect - Manager to lead enterprise data, analytics, and AI architecture across client engagements. You will translate business priorities into scalable platform designs and modernization roadmaps, driving secure, high-performing data and AI solutions using a broad Microsoft ecosystem.

You will guide architecture reviews, workshops, and governance while mentoring teams and partnering with senior client leaders to deliver measurable business outcomes and

Qualifications

Minimum 7+ years of experience in Data Engineering, Knowledge Engineering Data Architecture, Analytics, AI, or consulting roles, including 2+ years in client-facing leadership
Minimum 2+ years leading enterprise-scale Data & AI platform modernization initiatives
Demonstrated experience supporting or leading deals valued at $2M+ or equivalent opportunities
Minimum 5+ years of hands-on experience designing and implementing enterprise data platforms using Azure Data Services, Databricks, Snowflake, Fabric, or similar tech

Responsibilities

Lead enterprise data, analytics and AI architecture, aligning decisions with client strategy and delivery priorities
Turn complex business needs into actionable platform architectures and modernization roadmaps
Architect and oversee secure, scalable enterprise data platforms using Microsoft Fabric, Azure Data Services, Databricks, Snowflake, SQL, Python, Foundry, Copilot Studio
Lead client workshops and architecture reviews to align direction and remove delivery roadblocks
Create reusable assets and accelerators to improve quality, speed, and consistency across engagements
Set architecture governance, quality standards and guardrails for data migration, analytics modernization and AI programs
Shape delivery plans through pragmatic estimation, design and implementation roadmaps
Partner with senior client leaders to tie data and AI investments to measurable business outcomes
Provide hands-on technical oversight from architecture through implementation
Mentor architects and engineers to raise technical standards across teams
Coordinate with global teams and technology partners to scale capabilities
Apply advances in data engineering, generative AI, real-time intelligence, IoT and cloud platforms

Skills

Enterprise Data Platform Architecture

Microsoft Data & AI platform

Knowledge Graphs

Data modeling

Semantic modeling

Python

SQL

Leadership

Client workshops

Architecture governance

Education

Bachelor’s degree or equivalent experience

Tools

Microsoft Fabric

Databricks

Snowflake

Azure Data Services

Foundry

Copilot Studio

Neo4J

Job description

Enterprise Data Platform Architecture

The Data and AI Architect - Manager is a pivotal leadership role shaping and scaling enterprise data, analytics, and AI solutions that advance business strategy and deliver measurable results. As a trusted advisor and recognized subject matter expert, this leader helps clients modernize complex data estates and accelerate digital transformation across the Microsoft ecosystem, with a heavy focus on AI-native data platform solutions.

This leader drives end-to-end architecture and solution design—connecting business priorities, operating models, data and AI platforms, and application landscapes to create secure, scalable, and high-performing solutions tailored to each client environment. By turning complex challenges into clear, actionable data and AI architectures, this role establishes the technical foundation for sustained business value.

Come Join Us

The Data and AI Architect - Manager will lead the architecture and technical delivery of high-value data and AI solutions—turning bold designs into scalable, secure, and measurable client outcomes. This role provides hands-on technical oversight from architecture through implementation, drives critical decisions with delivery teams, and partners directly with senior client leaders to navigate complexity, accelerate execution, and ensure solutions deliver lasting business impact.

What You'll Do

Lead enterprise data, analytics and AI architecture, aligning technical decisions with client strategy, delivery priorities, and industry‑leading practices.
Turn complex business needs into clear, actionable 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 modern cloud-native technologies.
Lead client workshops, architecture reviews, and stakeholder forums that align technical direction, accelerate decisions, and remove delivery roadblocks.
Create and champion reusable assets, accelerators, and delivery methods that improve quality, speed, and consistency across engagements.
Set architecture governance, quality standards, and technical guardrails for complex data migration, analytics modernization, reporting, and AI programs.
Shape delivery plans through pragmatic estimation, technical design, architecture governance, and clear implementation roadmaps.
Partner with senior client leaders and account teams to connect data and AI investments to measurable business outcomes and long‑term value.
Provide hands‑on technical oversight from architecture through implementation, validating critical design choices and ensuring solutions are built to perform at enterprise scale.
Anticipate and resolve technical risks, dependencies, and delivery challenges before they affect scope, quality, or outcomes.
Guide and mentor architects, engineers, and cross‑functional delivery teams, raising technical standards and building confidence in execution.
Coordinate with global teams and technology partners to bring the right expertise to each engagement, share knowledge, and scale proven Data & AI capabilities.
Apply emerging advances in data engineering, generative AI, agentic AI, real‑time intelligence, IoT, and cloud platforms to continuously elevate client solutions.

Priority Skill

Enterprise Data Platform Architecture
Deep expertise in the Microsoft Data & AI platform and ecosystem
Expertise in Knowledge Engineering and building Knowledge Graphs
Expertise in data modeling, semantic modeling and ontologies
Technical skills: Microsoft Fabric, Databricks (Data Platform and Genie), Python, Neo4J, SQL, Power BI, Foundry, Copilot Studio

Job Requirements

Ability to work a flexible schedule as business needs require, with reasonable accommodation provided where required by applicable law.
Ability to travel domestically and internationally, as business needs require.

Skills & Experience

Minimum of 7+ years of experience in Data Engineering, Knowledge Engineering Data Architecture, Analytics, AI, or consulting roles, including 2+ years operating in a client‑facing leadership capacity
Minimum of 2+ years of experience leading enterprise‑scale Data & AI platform modernization initiatives, including platform transformations, analytics modernization, or AI‑enabled data platform programs
Demonstrated experience supporting or leading deals valued at $2M+ or equivalent enterprise‑scale opportunities
Minimum of 5+ years of hands‑on experience designing and implementing enterprise data platforms using Microsoft Azure Data Services, Databricks, Snowflake, Microsoft Fabric, or comparable technologies
Minimum of 2+ years of experience architecting cloud‑based data solutions, including data lakes, lakehouses, cloud analytics platforms, or modern data warehouse architectures
At least 5+ years of experience utilizing Python and SQL for data engineering, analytics, integration, and platform development
Minimum of 3+ years of experience delivering large‑scale data migration, integration, governance, or modernization programs
At least 2+ years of experience leading client workshops, executive stakeholder engagements, architecture reviews, and technical strategy discussions
Minimum of 3+ years of experience working with DevOps, DataOps, MLOps, SDLC, and Agile delivery methodologies
Minimum of 2+ years of experience applying Generative AI, machine learning, advanced analytics, or Agentic AI solutions within enterprise environments
Education level: Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a related quantitative field OR equivalent experience (Minimum 10 years of experience with no degree or 8 years with an Associate’s Degree)

Preferred Qualifications

Microsoft Certified Azure Solutions Architect Expert, Azure Data Engineer Professional, Fabric Analytics Engineer, AI Engineer, or equivalent certification
Experience in management consulting and/or systems integration environments
Advanced degree in Computer Science, Engineering, Data Science, Applied Mathematics, Statistics, Machine Learning, or related quantitative discipline
Strong experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Foundry, Copilot Studio, and Snowflake
Experience designing and implementing Lakehouse, Data Mesh, Cloud Scale Analytics, Modern Data Warehouse, or Fabric‑based architectures
Ability to architect integrations between AI agents and enterprise applications, APIs, MCP servers, data platforms, Microsoft 365 services, and business processes.
Knowledge of streaming analytics, real‑time intelligence, IoT, Digital Twins, and event‑driven architectures
Experience developing enterprise data and AI governance, data quality, metadata management, master data management strategies, and responsible AI
Ability to articulate Data & AI use cases across multiple industries including Manufacturing, Health & Life Sciences, Retail, Financial Services, and Resources
Strong communication and stakeholder management skills with the ability to influence senior technology and business leaders
Experience presenting architectural designs and investment strategies to senior client stakeholders

Professional Skills

Strong delivery acumen with the ability to translate complex requirements into clear priorities, decisive action, and measurable client outcomes
Proven ability to lead multidisciplinary teams through complex delivery challenges while maintaining momentum, quality, and accountability
Exceptional communication and interpersonal skills with the ability to build trusted advisor relationships with senior client stakeholders
Ability to drive consensus and architectural decision-making across business and technology stakeholders
Demonstrated ability to operate both strategically and tactically, balancing executive vision with hands‑on technical leadership
Highly organized with strong analytical, problem‑solving, and strategic thinking capabilities
Commitment to innovation, continuous learning, and delivering high‑quality client outcomes
Passion for emerging Data & AI technologies and helping clients realize measurable business value through modern data platforms and AI‑driven transformation

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted at least until 01/02/2027.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here: Benefits and Total Rewards | Avanade United States