Lead Cloud Solution Architect- AI & Data (AWS)

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 A