Cloud Solutions Architect Jobs
Cloud Solutions Architect jobs are open across financial services, healthcare, retail, and technology, from mid-level to principal and distinguished architect, with specializations in multi-cloud strategy, cloud migration, and enterprise platform design. Find a role that fits from the openings below and apply directly.
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Showing 5 of 1,696+ Cloud Solutions Architect jobs
Qualifications
- Minimum 10 years of progressive experience in data architecture, data engineering, cloud architecture, or related technical disciplines
- Minimum 7 years of hands-on experience designing, deploying, and operating data and AI workloads on AWS in enterprise environments
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
- Demonstrated real-world experience designing and delivering enterprise data platforms, including data lakes, data warehouses, streaming architectures, and data governance frameworks
- Deep expertise in AWS data and AI platform services: Redshift, Glue, Lake Formation, Kinesis, EMR, Athena, SageMaker, Bedrock, and related ecosystem services
- Proven hands-on experience with Databricks or Snowflake deployed on AWS in enterprise environments
- Demonstrated experience designing AI-ready data architectures, including data preparation pipelines, vector stores, retrieval-augmented generation (RAG) patterns, and AI governance frameworks
- Proven ability to develop and articulate AI & Data business cases, connecting technical architecture decisions to client outcomes and measurable business value
- Experience authoring SOWs, LOEs, reference architectures, and delivery playbooks that technical teams can execute from
- Strong communication skills, able to present data and AI architecture concepts to executive audiences and technical depth to delivery teams with equal effectiveness
Strongly Desired Skills
AWS Certifications
- AWS Certified Solutions Architect: Professional (strongly preferred)
- AWS Certified Data Engineer: Associate or Professional
- AWS Certified Machine Learning: Specialty
Platform Certifications
- Databricks Certified Data Engineer (Associate or Professional)
- Snowflake SnowPro Core or Advanced: Data Engineer
Technical Depth
- Enterprise data architecture patterns: data lakehouse, data mesh, data fabric, medallion architecture
- Data pipeline and orchestration tooling: Apache Airflow, AWS Step Functions, Glue workflows, dbt
- Streaming and real-time data architectures: Kinesis Data Streams, Kafka on AWS (MSK), EventBridge
- Data governance and cataloging: AWS Lake Formation, Glue Data Catalog, data lineage and quality frameworks
- AI operationalization on AWS: Bedrock, RAG architecture design, agentic workflow patterns, prompt engineering, AI governance
- Vector database and embedding patterns relevant to enterprise AI workloads
- SageMaker for model deployment, inference, and MLOps; experience with model training is a differentiator
- Application security patterns relevant to data and AI (data access controls, PII handling, model governance)
- Cloud cost modeling and FinOps principles as applied to data platform architecture decisions
Multi-Cloud Exposure
- Familiarity with Azure data and AI services (Azure Synapse, Azure Data Factory, Azure AI Foundry, Microsoft Fabric)
- Experience advising clients on multi-cloud data strategy or workload placement decisions across AWS and Azure
- Microsoft Azure certifications (any level) are a plus
What Success Looks Like in Year One
- WWT's AI & Data service offerings are sharper, more repeatable, and faster to scope, measurably reducing presales cycle time
- Solution Architects trust this role as their go-to technical escalation for AI & Data pursuits
- Delivery oversight has prevented at least one significant architectural problem from reaching the client
- The frameworks, playbooks, and standards this role has built have made WWT's AI & Data delivery more scalable, enabling the team to take on greater volume without sacrificing quality
- Client satisfaction scores on AI & Data engagements reflect a measurable improvement in delivery consistency and outcome achievement
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $140,000 to $175,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
- Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!
If you have any questions or concerns about this posting, please email taposting@wwt.com.
LI-MP2
LI-REMOTE
Why WWT?
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.
With over 15,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 15 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What is the Solutions Consulting & Engineering (SC&E) Team and why join?
Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.
Position Overview
As a Lead Cloud Solution Architect - AI & Data (AWS), you are a senior individual contributor and recognized AWS expert who shapes how WWT builds, sells, and delivers data and AI outcomes for enterprise clients.
This is not a delivery execution role. Your primary mandate is to define the delivery process, build the technical frameworks, and provide the subject matter expertise that enables WWT's AI & Data offerings to scale. The role is composed of three focus areas: building and maturing WWT's AI & Data service offerings, supporting pre-sales pursuits as a technical SME, and providing delivery oversight on strategic accounts and pilots.
You understand that AI outcomes are only as strong as the data foundation beneath them. You bring real-world experience designing and delivering enterprise data platforms, and you know how to structure, govern, move, and prepare data so that AI can work. You have guided clients through the technical and organizational complexity of becoming a data-driven enterprise, and you have helped them take that foundation and operationalize AI on top of it.
Key Responsibilities
Solution Development
- Define and continuously improve WWT's AI & Data delivery process, including reference architectures, delivery playbooks, assessment frameworks, and reusable delivery assets for the AWS platform
- Define and document repeatable engagement patterns for the full AI & Data lifecycle: data platform assessment, data architecture design, data engineering and pipeline development, AI readiness, and AI operationalization
- Develop and maintain SOW templates, LOE models, and scope frameworks that enable Solution Architects and delivery teams to structure and price engagements consistently
- Partner with Practice Leadership to align AI & Data offerings to client demand signals, competitive positioning, and AWS partner co-investment opportunities
- Provide technical oversight on pilot engagements and strategic accounts, not as a delivery executor, but as a quality gate ensuring architectural decisions align with WWT standards and client outcomes
- Collaborate with the Cloud Migration, Security, and Infrastructure solution areas to ensure AI & Data offerings integrate cleanly across the WWT Cloud portfolio
Pre-Sales SME Support
- Engage directly with clients during discovery and solutioning as the senior technical voice on data architecture and AI operationalization, translating ambiguous business problems into well-scoped, value-anchored technical solutions
- Review and validate SOWs, LOEs, and technical proposals produced by Solution Architects; identify scope gaps, risk patterns, and pricing inconsistencies before they reach the client
- Support RFP/RFI responses as the technical subject matter expert, providing solution narratives, architecture rationale, and differentiators that reflect WWT's actual delivery experience
- Partner with AWS field teams and WWT account executives to position AI & Data offerings and develop pursuit strategies for strategic accounts
Technical Delivery Excellence
- Serve as a technical executive sponsor on WWT's highest-complexity AI & Data engagements, providing architectural guidance, escalation support, and quality assurance at key delivery milestones
- Identify delivery risk early, including scope creep, architectural drift, data quality issues, and team skill gaps, and work with Delivery Leads to course-correct before issues reach the client
- Conduct architecture and design reviews on active engagements to ensure alignment with WWT reference patterns and AWS Well-Architected principles
- Capture delivery learnings and feed them back into the solution development process, closing the loop between what we promise and what we deliver
Qualifications
- Minimum 10 years of progressive experience in data architecture, data engineering, cloud architecture, or related technical disciplines
- Minimum 7 years of hands-on experience designing, deploying, and operating data and AI workloads on AWS in enterprise environments
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
- Demonstrated real-world experience designing and delivering enterprise data platforms, including data lakes, data warehouses, streaming architectures, and data governance frameworks
- Deep expertise in AWS data and AI platform services: Redshift, Glue, Lake Formation, Kinesis, EMR, Athena, SageMaker, Bedrock, and related ecosystem services
- Proven hands-on experience with Databricks or Snowflake deployed on AWS in enterprise environments
- Demonstrated experience designing AI-ready data architectures, including data preparation pipelines, vector stores, retrieval-augmented generation (RAG) patterns, and AI governance frameworks
- Proven ability to develop and articulate AI & Data business cases, connecting technical architecture decisions to client outcomes and measurable business value
- Experience authoring SOWs, LOEs, reference architectures, and delivery playbooks that technical teams can execute from
- Strong communication skills, able to present data and AI architecture concepts to executive audiences and technical depth to delivery teams with equal effectiveness
Strongly Desired Skills
AWS Certifications
- AWS Certified Solutions Architect: Professional (strongly preferred)
- AWS Certified Data Engineer: Associate or Professional
- AWS Certified Machine Learning: Specialty
Platform Certifications
- Databricks Certified Data Engineer (Associate or Professional)
- Snowflake SnowPro Core or Advanced: Data Engineer
Technical Depth
- Enterprise data architecture patterns: data lakehouse, data mesh, data fabric, medallion architecture
- Data pipeline and orchestration tooling: Apache Airflow, AWS Step Functions, Glue workflows, dbt
- Streaming and real-time data architectures: Kinesis Data Streams, Kafka on AWS (MSK), EventBridge
- Data governance and cataloging: AWS Lake Formation, Glue Data Catalog, data lineage and quality frameworks
- AI operationalization on AWS: Bedrock, RAG architecture design, agentic workflow patterns, prompt engineering, AI governance
- Vector database and embedding patterns relevant to enterprise AI workloads
- SageMaker for model deployment, inference, and MLOps; experience with model training is a differentiator
- Application security patterns relevant to data and AI (data access controls, PII handling, model governance)
- Cloud cost modeling and FinOps principles as applied to data platform architecture decisions
Multi-Cloud Exposure
- Familiarity with Azure data and AI services (Azure Synapse, Azure Data Factory, Azure AI Foundry, Microsoft Fabric)
- Experience advising clients on multi-cloud data strategy or workload placement decisions across AWS and Azure
- Microsoft Azure certifications (any level) are a plus
What Success Looks Like in Year One
- WWT's AI & Data service offerings are sharper, more repeatable, and faster to scope, measurably reducing presales cycle time
- Solution Architects trust this role as their go-to technical escalation for AI & Data pursuits
- Delivery oversight has prevented at least one significant architectural problem from reaching the client
- The frameworks, playbooks, and standards this role has built have made WWT's AI & Data delivery more scalable, enabling the team to take on greater volume without sacrificing quality
- Client satisfaction scores on AI & Data engagements reflect a measurable improvement in delivery consistency and outcome achievement
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $140,000 to $175,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
- Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!
If you have any questions or concerns about this posting, please email taposting@wwt.com.
LI-MP2
LI-REMOTE
Why WWT?
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.
With over 15,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 15 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What is the Solutions Consulting & Engineering (SC&E) Team and why join?
Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.
Position Overview
As a Lead Cloud Solution Architect - AI & Data (AWS), you are a senior individual contributor and recognized AWS expert who shapes how WWT builds, sells, and delivers data and AI outcomes for enterprise clients.
This is not a delivery execution role. Your primary mandate is to define the delivery process, build the technical frameworks, and provide the subject matter expertise that enables WWT's AI & Data offerings to scale. The role is composed of three focus areas: building and maturing WWT's AI & Data service offerings, supporting pre-sales pursuits as a technical SME, and providing delivery oversight on strategic accounts and pilots.
You understand that AI outcomes are only as strong as the data foundation beneath them. You bring real-world experience designing and delivering enterprise data platforms, and you know how to structure, govern, move, and prepare data so that AI can work. You have guided clients through the technical and organizational complexity of becoming a data-driven enterprise, and you have helped them take that foundation and operationalize AI on top of it.
Key Responsibilities
Solution Development
- Define and continuously improve WWT's AI & Data delivery process, including reference architectures, delivery playbooks, assessment frameworks, and reusable delivery assets for the AWS platform
- Define and document repeatable engagement patterns for the full AI & Data lifecycle: data platform assessment, data architecture design, data engineering and pipeline development, AI readiness, and AI operationalization
- Develop and maintain SOW templates, LOE models, and scope frameworks that enable Solution Architects and delivery teams to structure and price engagements consistently
- Partner with Practice Leadership to align AI & Data offerings to client demand signals, competitive positioning, and AWS partner co-investment opportunities
- Provide technical oversight on pilot engagements and strategic accounts, not as a delivery executor, but as a quality gate ensuring architectural decisions align with WWT standards and client outcomes
- Collaborate with the Cloud Migration, Security, and Infrastructure solution areas to ensure AI & Data offerings integrate cleanly across the WWT Cloud portfolio
Pre-Sales SME Support
- Engage directly with clients during discovery and solutioning as the senior technical voice on data architecture and AI operationalization, translating ambiguous business problems into well-scoped, value-anchored technical solutions
- Review and validate SOWs, LOEs, and technical proposals produced by Solution Architects; identify scope gaps, risk patterns, and pricing inconsistencies before they reach the client
- Support RFP/RFI responses as the technical subject matter expert, providing solution narratives, architecture rationale, and differentiators that reflect WWT's actual delivery experience
- Partner with AWS field teams and WWT account executives to position AI & Data offerings and develop pursuit strategies for strategic accounts
Technical Delivery Excellence
- Serve as a technical executive sponsor on WWT's highest-complexity AI & Data engagements, providing architectural guidance, escalation support, and quality assurance at key delivery milestones
- Identify delivery risk early, including scope creep, architectural drift, data quality issues, and team skill gaps, and work with Delivery Leads to course-correct before issues reach the client
- Conduct architecture and design reviews on active engagements to ensure alignment with WWT reference patterns and AWS Well-Architected principles
- Capture delivery learnings and feed them back into the solution development process, closing the loop between what we promise and what we deliver
See All 1,696+ Cloud Solutions Architect Jobs
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Find JobsCloud Solutions Architect Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Google64
- NVIDIA62
- Amazon Web Services57
- Tata Consultancy Services (TCS)55
- Databricks42
Top Industries Hiring
- Technology & Software814
- Consulting & Professional Services239
- Healthcare & Medical Services74
- Banking & Financial Services65
- Electronics & Hardware59
What Employers Look For
The qualifications that appear most often in cloud solutions architect jobs.
- Hands-on experience designing and deploying solutions on AWS, Azure, or Google Cloud Platform
- Proficiency in infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi
- AWS Solutions Architect, Azure Solutions Architect Expert, or equivalent professional certification
- Experience architecting multi-cloud or hybrid-cloud environments at enterprise scale
- Strong understanding of cloud security frameworks, identity management, and compliance controls
- Bachelor's degree in computer science, information technology, or a closely related field
Tips for Your Cloud Solutions Architect Job Search
Align certifications to your target stack
Hiring teams filter resumes by cloud platform first. If you're targeting AWS-heavy roles, lead with AWS Solutions Architect credentials. For Azure-dominant organizations, put your Azure certifications above any others. Misalignment here costs you interviews before a human reads your resume.
Quantify architecture decisions, not just duties
Your resume should show the scale of what you designed: workload volumes, cost reductions from optimization work, or latency improvements from architectural changes. Generic bullets like 'designed cloud infrastructure' lose to candidates who describe the actual scope and outcome of their work.
Apply early to roles that fit
Migrate Mate lists cloud solutions architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by platform, not just title
A cloud solutions architect role at an AWS-native startup requires a completely different skill set than the same title at a hybrid-cloud enterprise. Search by platform keywords alongside the job title so the roles you apply to actually match your depth.
Prepare a whiteboard architecture walkthrough
Most cloud solutions architect interviews include a live design exercise. Practice walking through a multi-tier application architecture out loud, explaining tradeoffs between services as you go. Interviewers evaluate your reasoning process as much as your final design.
Negotiate scope before accepting an offer
Cloud solutions architect roles vary widely in actual authority. Before accepting, clarify whether you have final say on architecture decisions or act in an advisory capacity. Scope determines your day-to-day impact and your long-term growth in the role.
Cloud Solutions Architect Jobs: Frequently Asked Questions
Which companies are hiring the most cloud solutions architects?
The companies hiring the most cloud solutions architects right now include Google, NVIDIA, and Amazon Web Services, with the largest share of openings in Texas, California, and New York, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in financial services, healthcare systems, and technology consulting firms undertaking large-scale cloud transformation programs.
How many cloud solutions architect jobs are remote?
About 38% of cloud solutions architect openings are fully remote or hybrid as of June 2026, reflecting the consultative and design-focused nature of the role. Sub-specializations like cloud migration strategy, platform architecture review, and pre-sales architecture work tend to be the most remote-friendly, while roles tied to regulated industries often require some on-site presence.
How do you become a cloud solutions architect?
Start by building hands-on experience with at least one major cloud platform through project work, then earn a recognized professional certification such as AWS Solutions Architect or Azure Solutions Architect Expert. Move into roles with increasing architectural responsibility, like cloud engineer or technical lead, and develop skills in infrastructure-as-code, cost optimization, and stakeholder communication. A portfolio of real architectural decisions you've owned accelerates the transition into dedicated architect roles.
Can you get a cloud solutions architect job with little experience?
Breaking in with limited experience is possible if you build a demonstrable portfolio of cloud architecture work, even through personal projects or open-source contributions, and earn a platform certification before applying. Many employers hire associate-level architects from strong cloud engineering or DevOps backgrounds. Targeting consulting firms and managed service providers can also help, since they hire architects at earlier career stages than large enterprises typically do.
What does the cloud solutions architect interview process look like?
Most processes begin with a recruiter screen, followed by a technical interview covering cloud platform knowledge and architecture principles. Candidates then complete a live whiteboard or virtual design exercise where they walk through a solution to a realistic business problem. Final rounds typically involve a panel of senior engineers or architects and may include a business case or presentation component assessing how you communicate technical decisions to non-technical stakeholders.
Where can I find and apply to cloud solutions architect jobs?
You can find and apply to cloud solutions architect jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your platform experience and seniority level, then apply directly to each one that fits.
See All 1,696+ Cloud Solutions Architect Jobs
Jump back to the full list of openings and apply to any cloud solutions architect role that fits.
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