{"schemaVersion":"jobsearcher.job.v1","id":"3a5eca02aa1689a47a5ca97e","url":"https://jobsearcher.com/jobs/3a5eca02aa1689a47a5ca97e","canonicalUrl":"https://jobsearcher.com/jobs/3a5eca02aa1689a47a5ca97e","title":"Lead Cloud Solution Architect- AI & Data (AWS)","description":"Qualifications\nMinimum 10 years of progressive experience in data architecture, data engineering, cloud architecture, or related technical disciplines\nMinimum 7 years of hands-on experience designing, deploying, and operating data and AI workloads on AWS in enterprise environments\nBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience\nDemonstrated real-world experience designing and delivering enterprise data platforms, including data lakes, data warehouses, streaming architectures, and data governance frameworks\nDeep expertise in AWS data and AI platform services: Redshift, Glue, Lake Formation, Kinesis, EMR, Athena, SageMaker, Bedrock, and related ecosystem services\nProven hands-on experience with Databricks or Snowflake deployed on AWS in enterprise environments\nDemonstrated experience designing AI-ready data architectures, including data preparation pipelines, vector stores, retrieval-augmented generation (RAG) patterns, and AI governance frameworks\nProven ability to develop and articulate AI & Data business cases, connecting technical architecture decisions to client outcomes and measurable business value\nExperience authoring SOWs, LOEs, reference architectures, and delivery playbooks that technical teams can execute from\nStrong communication skills, able to present data and AI architecture concepts to executive audiences and technical depth to delivery teams with equal effectiveness\nStrongly Desired Skills\nAWS Certifications\nAWS Certified Solutions Architect: Professional (strongly preferred)\nAWS Certified Data Engineer: Associate or Professional\nAWS Certified Machine Learning: Specialty\nPlatform Certifications\nDatabricks Certified Data Engineer (Associate or Professional)\nSnowflake SnowPro Core or Advanced: Data Engineer\nTechnical Depth\nEnterprise data architecture patterns: data lakehouse, data mesh, data fabric, medallion architecture\nData pipeline and orchestration tooling: Apache Airflow, AWS Step Functions, Glue workflows, dbt\nStreaming and real-time data architectures: Kinesis Data Streams, Kafka on AWS (MSK), EventBridge\nData governance and cataloging: AWS Lake Formation, Glue Data Catalog, data lineage and quality frameworks\nAI operationalization on AWS: Bedrock, RAG architecture design, agentic workflow patterns, prompt engineering, AI governance\nVector database and embedding patterns relevant to enterprise AI workloads\nSageMaker for model deployment, inference, and MLOps; experience with model training is a differentiator\nApplication security patterns relevant to data and AI (data access controls, PII handling, model governance)\nCloud cost modeling and FinOps principles as applied to data platform architecture decisions\nMulti-Cloud Exposure\nFamiliarity with Azure data and AI services (Azure Synapse, Azure Data Factory, Azure AI Foundry, Microsoft Fabric)\nExperience advising clients on multi-cloud data strategy or workload placement decisions across AWS and Azure\nMicrosoft Azure certifications (any level) are a plus\nWhat Success Looks Like in Year One\nWWT's AI & Data service offerings are sharper, more repeatable, and faster to scope, measurably reducing presales cycle time\nSolution Architects trust this role as their go-to technical escalation for AI & Data pursuits\nDelivery oversight has prevented at least one significant architectural problem from reaching the client\nThe 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\nClient satisfaction scores on AI & Data engagements reflect a measurable improvement in delivery consistency and outcome achievement\nWant to learn more about Consulting Services? Check us out on our platform:\nhttps://www.wwt.com/consulting-services\nCertain 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.\nThe well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:\nHealth and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program\nFinancial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement\nPaid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring\nAdditional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program\nNote: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits. For more information, see our US benefits website at wwt.com/us-benefits.\n\nWe 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\nremains a great place to work for all!\nIf you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.\n\nWorld Wide Technology is an Equal Opportunity Employer.\nIf you have any questions or concerns about this posting, please email taposting@wwt.com.\n#LI-MP2\n#LI-REMOTE\nRequirements:\nWhy WWT?\nWorld Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.\nFounded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distributions capabilities.\nWith more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.\nWant to work with highly motivated individuals on high-performance teams? Join WWT today!\nWhat is the Solutions Consulting & Engineering (SC&E) Team and why join?\nSolutions 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.\nPosition Overview\nAs 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.\nThis 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.\nYou 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.\nKey Responsibilities\nSolution Development\nDefine and continuously improve WWT's AI & Data delivery process, including reference architectures, delivery playbooks, assessment frameworks, and reusable delivery assets for the AWS platform\nDefine 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\nDevelop and maintain SOW templates, LOE models, and scope frameworks that enable Solution Architects and delivery teams to structure and price engagements consistently\nPartner with Practice Leadership to align AI & Data offerings to client demand signals, competitive positioning, and AWS partner co-investment opportunities\nProvide 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\nCollaborate with the Cloud Migration, Security, and Infrastructure solution areas to ensure AI & Data offerings integrate cleanly across the WWT Cloud portfolio\nPre-Sales SME Support\nEngage 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\nReview and validate SOWs, LOEs, and technical proposals produced by Solution Architects; identify scope gaps, risk patterns, and pricing inconsistencies before they reach the client\nSupport RFP/RFI responses as the technical subject matter expert, providing solution narratives, architecture rationale, and differentiators that reflect WWT's actual delivery experience\nPartner with AWS field teams and WWT account executives to position AI & Data offerings and develop pursuit strategies for strategic accounts\nTechnical Delivery Excellence\nServe 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\nIdentify 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\nConduct architecture and design reviews on active engagements to ensure alignment with WWT reference patterns and AWS Well-Architected principles\nCapture delivery learnings and feed them back into the solution development process, closing the loop between what we promise and what we deliver","company":"Worldwidetechnology","rawCompany":"worldwidetechnology","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T18:27:25.044Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Cloud Solution Architect- AI & Data (AWS)","description":"Qualifications\nMinimum 10 years of progressive experience in data architecture, data engineering, cloud architecture, or related technical disciplines\nMinimum 7 years of hands-on experience designing, deploying, and operating data and AI workloads on AWS in enterprise environments\nBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience\nDemonstrated real-world experience designing and delivering enterprise data platforms, including data lakes, data warehouses, streaming architectures, and data governance frameworks\nDeep expertise in AWS data and AI platform services: Redshift, Glue, Lake Formation, Kinesis, EMR, Athena, SageMaker, Bedrock, and related ecosystem services\nProven hands-on experience with Databricks or Snowflake deployed on AWS in enterprise environments\nDemonstrated experience designing AI-ready data architectures, including data preparation pipelines, vector stores, retrieval-augmented generation (RAG) patterns, and AI governance frameworks\nProven ability to develop and articulate AI & Data business cases, connecting technical architecture decisions to client outcomes and measurable business value\nExperience authoring SOWs, LOEs, reference architectures, and delivery playbooks that technical teams can execute from\nStrong communication skills, able to present data and AI architecture concepts to executive audiences and technical depth to delivery teams with equal effectiveness\nStrongly Desired Skills\nAWS Certifications\nAWS Certified Solutions Architect: Professional (strongly preferred)\nAWS Certified Data Engineer: Associate or Professional\nAWS Certified Machine Learning: Specialty\nPlatform Certifications\nDatabricks Certified Data Engineer (Associate or Professional)\nSnowflake SnowPro Core or Advanced: Data Engineer\nTechnical Depth\nEnterprise data architecture patterns: data lakehouse, data mesh, data fabric, medallion architecture\nData pipeline and orchestration tooling: Apache Airflow, AWS Step Functions, Glue workflows, dbt\nStreaming and real-time data architectures: Kinesis Data Streams, Kafka on AWS (MSK), EventBridge\nData governance and cataloging: AWS Lake Formation, Glue Data Catalog, data lineage and quality frameworks\nAI operationalization on AWS: Bedrock, RAG architecture design, agentic workflow patterns, prompt engineering, AI governance\nVector database and embedding patterns relevant to enterprise AI workloads\nSageMaker for model deployment, inference, and MLOps; experience with model training is a differentiator\nApplication security patterns relevant to data and AI (data access controls, PII handling, model governance)\nCloud cost modeling and FinOps principles as applied to data platform architecture decisions\nMulti-Cloud Exposure\nFamiliarity with Azure data and AI services (Azure Synapse, Azure Data Factory, Azure AI Foundry, Microsoft Fabric)\nExperience advising clients on multi-cloud data strategy or workload placement decisions across AWS and Azure\nMicrosoft Azure certifications (any level) are a plus\nWhat Success Looks Like in Year One\nWWT's AI & Data service offerings are sharper, more repeatable, and faster to scope, measurably reducing presales cycle time\nSolution Architects trust this role as their go-to technical escalation for AI & Data pursuits\nDelivery oversight has prevented at least one significant architectural problem from reaching the client\nThe 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\nClient satisfaction scores on AI & Data engagements reflect a measurable improvement in delivery consistency and outcome achievement\nWant to learn more about Consulting Services? Check us out on our platform:\nhttps://www.wwt.com/consulting-services\nCertain 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.\nThe well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:\nHealth and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program\nFinancial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement\nPaid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring\nAdditional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program\nNote: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits. For more information, see our US benefits website at wwt.com/us-benefits.\n\nWe 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\nremains a great place to work for all!\nIf you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.\n\nWorld Wide Technology is an Equal Opportunity Employer.\nIf you have any questions or concerns about this posting, please email taposting@wwt.com.\n#LI-MP2\n#LI-REMOTE\nRequirements:\nWhy WWT?\nWorld Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.\nFounded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distributions capabilities.\nWith more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.\nWant to work with highly motivated individuals on high-performance teams? Join WWT today!\nWhat is the Solutions Consulting & Engineering (SC&E) Team and why join?\nSolutions 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.\nPosition Overview\nAs 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.\nThis 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.\nYou 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.\nKey Responsibilities\nSolution Development\nDefine and continuously improve WWT's AI & Data delivery process, including reference architectures, delivery playbooks, assessment frameworks, and reusable delivery assets for the AWS platform\nDefine 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\nDevelop and maintain SOW templates, LOE models, and scope frameworks that enable Solution Architects and delivery teams to structure and price engagements consistently\nPartner with Practice Leadership to align AI & Data offerings to client demand signals, competitive positioning, and AWS partner co-investment opportunities\nProvide 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\nCollaborate with the Cloud Migration, Security, and Infrastructure solution areas to ensure AI & Data offerings integrate cleanly across the WWT Cloud portfolio\nPre-Sales SME Support\nEngage 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\nReview and validate SOWs, LOEs, and technical proposals produced by Solution Architects; identify scope gaps, risk patterns, and pricing inconsistencies before they reach the client\nSupport RFP/RFI responses as the technical subject matter expert, providing solution narratives, architecture rationale, and differentiators that reflect WWT's actual delivery experience\nPartner with AWS field teams and WWT account executives to position AI & Data offerings and develop pursuit strategies for strategic accounts\nTechnical Delivery Excellence\nServe 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\nIdentify 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\nConduct architecture and design reviews on active engagements to ensure alignment with WWT reference patterns and AWS Well-Architected principles\nCapture delivery learnings and feed them back into the solution development process, closing the loop between what we promise and what we deliver","datePosted":"2026-08-04T18:27:25.044Z","dateModified":"2026-08-04T18:27:25.044Z","hiringOrganization":{"@type":"Organization","name":"Worldwidetechnology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3a5eca02aa1689a47a5ca97e"},"url":"https://jobsearcher.com/jobs/3a5eca02aa1689a47a5ca97e"}}