Data Center Project Architect

Job Description

Description

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%

Requirements

• 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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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