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
Want to learn more about Consulting Services? Check us out on our platform:
https://www.wwt.com/consulting-services
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.
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Qualifications
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
