Data Center Project Architect IV at Intelliswift

Pay rate range - $95/hr. to $98/hr. Onsite Must Have 5+ years' experience with AWS services: S3, Lambda, API Gateway, CloudFront, DynamoDB, Athena, or equivalent cloud data stack 5+ years' experience designing data pipelines and data models for manufacturing, quality, or IoT systems 5+ years' experience building full-stack web applications (React/TypeScript frontend + cloud backend) Basic qualifications Bachelor's degree in computer science, Data Engineering, Software Engineering, or related field 5+ years' experience building full-stack web applications (React/TypeScript frontend + cloud backend) 5+ years' experience with AWS services: S3, Lambda, API Gateway, CloudFront, DynamoDB, Athena, or equivalent cloud data stack 5+ years' experience designing data pipelines and data models for manufacturing, quality, or IoT systems Proficiency in Python and SQL for data processing, transformation, and analysis Experience with Infrastructure as Code (CDK, CloudFormation, or Terraform) Strong communication skills - ability to translate between hardware engineering domain experts and software architecture Preferred qualifications M.S. in Computer Science, Data Engineering, or related field Experience with statistical process control (SPC), GRR methodology, or metrology/quality data systems Familiarity with MES implementations or industrial data acquisition systems Background in display/optical metrology or hardware quality systems Experience with AI/ML agent frameworks or tool-integration patterns for connecting analysis workflows to structured data Key job responsibilities Design and build internal web applications (React/TypeScript, AWS-hosted) for creating and managing metrology configurations that define what is measured, where, and how across programs and vendor sites Architect and deploy an S3-based data lake with automated folder structure generation, schema validation, and event-driven processing pipelines Build serverless backend services (API Gateway + Lambda) for configuration CRUD, data ingestion, pass/fail evaluation against spec limits, and summary aggregation Develop integration adapters for optical tester outputs (CSV, key-value text, proprietary formats) into structured, queryable storage Design and deploy internal analytics dashboards: process capability, yield trending, GRR analysis, SPC monitoring, and cross-site measurement correlation Implement AI agent workflows for automated analysis: GRR validation, build summaries, and upstream/downstream spec optimization Establish data governance: role-based access controls (vendor-scoped editing), schema versioning, change traceability, and audit logging Partner with optical metrology engineers and external manufacturing partners to translate measurement workflows and domain requirements into system architecture Travel for site assessments, internal design meetings, construction review, and interfacing with design consultants. Anticipated travel not to exceed 15%.