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# Lead Cloud Solution Architect- Cloud AI & Data Organization

- **Company:** WWT LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Systems Engineering, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Information Systems, Databases, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Migration, Microsoft Software, Cloud Services, Data Streaming, Systems Integration, Google Cloud, Informatica Powercenter, Snowflake, Microsoft Fabric, Information Technology, Apache Flink, AWS Glue, Apache Kafka, Apache Nifi, Data Management, Data Lakehouse, Data Pipelines, Databricks
- **Published:** August 1, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-cloud-solution-architect-cloud-ai-data-arnold-mo--162a0ca1-8030-4fbb-ab43-956719959fda

## About the Role

* 8+ years of experience in cloud data architecture on one or more major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake, or Microsoft Fabric), giving you the judgment to distinguish a sound technical concept from a flawed one
 * Demonstrated ability to quickly move a solution from idea to sellable offering, including building the sales enablement content needed to support it
 * Demonstrated experience transforming and migrating data from legacy and source systems into modern cloud data platforms, including the patterns, tooling, and pitfalls involved
 * Demonstrated ability to partner with technical architects as a peer to work through the best approach and tooling for a complex or ambiguous client problem
 * Experience in a consulting, systems integrator, or professional services environment, packaging and selling technical offerings to enterprise clients
 * Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or equivalent practical experience
 * Excellent executive communication skills, equally credible presenting business strategy to leadership and technical rationale to engineers

Preferred Skills

 * Prior experience advising C level executives (CIO, CDO, CTO) on cloud data or AI strategy
 * Relevant certifications across AWS, Azure, GCP, Databricks, or Snowflake
 * Familiarity with low/no code data tooling such as Apache NiFi, Informatica, and AWS Glue
 * Personal experience using agentic AI tools in day to day technical work, such as AI coding assistants and agentic workflow tooling
 * Experience partnering with business development or alliance teams on hyperscaler or ISV co investment programs, Amazon Web Services (AWS), Apache, Artificial Intelligence (AI), Business Development, Business Strategy, C-Level Management, Cloud Architecture, Cloud Computing, Communication Skills, Computer Science, Consulting, Data Migration, Data Quality, Database Extract Transform and Load (ETL), Demand Generation, Employee Assistance Plan, GCP (Good Clinical Practices), Independent Software Vendor (ISV), Informatica, Information Technology & Information Systems, Investment Funds, Leadership, Machine Tool, Microsoft Product Family, Microsoft Windows Azure, Needs Assessment, Pre-Sales, Prescription Drugs, Professional Services, Risk, Sales, Sales Support, System Integration (SI), Systems Engineering, Technical Sales, Technical Support, Time Management

## Description

* Data transformation and migration into modern cloud data platforms, including ETL/ELT pipelines, legacy system extraction, and data quality and validation during migration
 * Designing and implementing modern data architecture patterns: data lakehouse, data mesh, data fabric, medallion architecture on vendor platforms such as Databricks, Snowflake, Microsoft Fabric or other similar cloud solutions
 * AI operationalization across clouds: Bedrock, Azure AI Foundry, Vertex AI, SageMaker, RAG architecture, agentic solution architecture patterns, AI governance
 * Streaming and real time architectures: Kafka, Kinesis, Azure Event Hub, Flink
 * Data governance, lineage, and cost/FinOps principles as they relate to platform decisions and packaging

What Success Looks Like in Year One

 * At least one new solution developed under this role has moved from idea to sellable, revenue generating offering, contributing measurably to practice growth
 * Sales enablement materials measurably reduce presales cycle time and reduce dependency on this role for individual pursuits
 * Partner co investment funding is secured and deployed against enablement or demand generation
 * Technical sales support and steering committee involvement have directly influenced at least one marquee win and caught at least one delivery risk early on a strategic engagement


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