Cloud Data Engineer Visa Sponsorship Jobs in Washington
Washington state is one of the strongest markets for cloud data engineer visa sponsorship in the U.S., driven by the concentration of major tech employers across the greater Seattle area. Microsoft, Amazon, and Tableau are among the companies that regularly hire and sponsor cloud data engineers in cities like Seattle, Redmond, and Bellevue.
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Get Access To All JobsINTRODUCTION
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.
- 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).
About you
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
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.
Salary Range:
- California - $149,600 - $189,212
- Cleveland - $138,500 - $164,500
- Colorado - $149,600 - $177,700
- District of Columbia - $159,337 - $189,212
- Illinois - $149,600 - $177,700
- Maine - $138,500 - $164,500
- Maryland - $149,600 - $189,212
- Massachusetts - $149,600 - $189,212
- Minnesota - $138,500 - $164,500
- New York / New Jersey - $159,337 - $202,375
- Virginia - $138,500 - $164,500
- Washington - $149,600 - $189,212
INTRODUCTION
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.
- 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).
About you
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
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.
Salary Range:
- California - $149,600 - $189,212
- Cleveland - $138,500 - $164,500
- Colorado - $149,600 - $177,700
- District of Columbia - $159,337 - $189,212
- Illinois - $149,600 - $177,700
- Maine - $138,500 - $164,500
- Maryland - $149,600 - $189,212
- Massachusetts - $149,600 - $189,212
- Minnesota - $138,500 - $164,500
- New York / New Jersey - $159,337 - $202,375
- Virginia - $138,500 - $164,500
- Washington - $149,600 - $189,212
Cloud Data Engineer Job Roles in Washington
See all 37+ Cloud Data Engineer Jobs in Washington
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Search Cloud Data Engineer Jobs in WashingtonCloud Data Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in Washington?
Microsoft, Amazon, and Google have sponsored cloud data engineers in Washington through H-1B visa filings disclosed in Department of Labor records. Smaller cloud-focused employers such as Tableau, Snowflake, and Zillow also appear in LCA disclosure data for this role. Washington's density of cloud-native and enterprise technology companies makes it one of the more active states for this type of sponsorship.
Which visa types are most common for cloud data engineer roles in Washington?
The H-1B is the most common visa category for cloud data engineers in Washington, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. Candidates already holding L-1B status through an intracompany transfer are also well represented at large multinationals headquartered in the Seattle region, including Microsoft and Amazon.
Which cities in Washington have the most cloud data engineer sponsorship jobs?
Seattle and Redmond account for the large majority of cloud data engineer sponsorship activity in Washington, reflecting the headquarters presence of Amazon and Microsoft respectively. Bellevue has grown significantly as a secondary tech hub, with a number of cloud and data platform companies establishing offices there. Kirkland and Bothell see smaller but consistent hiring volumes, primarily from mid-size technology employers.
How to find cloud data engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically for roles that come with visa sponsorship, which removes the guesswork of identifying which Washington employers will support an H-1B or other work visa. Searching for cloud data engineer roles on Migrate Mate surfaces positions from companies that have a documented history of sponsoring international candidates in Washington, helping you focus your applications where sponsorship is a realistic outcome.
Are there any Washington-specific factors cloud data engineers should know before applying for sponsored roles?
Washington has no state income tax, which affects the prevailing wage calculations employers use when filing Labor Condition Applications, since compensation benchmarks can differ from states with higher tax burdens. The University of Washington and Washington State University produce a steady pipeline of graduate-level talent in cloud and data engineering, which means sponsored candidates often compete alongside a strong local pool. Employers in Washington also tend to expect familiarity with cloud platforms such as AWS and Azure given the regional dominance of Amazon and Microsoft.
What is the prevailing wage for sponsored cloud data engineer jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.