Data Center Project Architect IV

Ursus, Inc.

Sunnyvale, CA

JOB DETAILS
SALARY
$87–$97.57 Per Hour
SKILLS
AWS Lambda, Access Control, Amazon CloudFront, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Communication Skills, Computer Engineering, Computer Science, Configuration Management, Construction Design, Data Lake, Data Management, Data Modeling, Data Processing, Editing, Internet Application, Internet of Things, Manufacturing, Metrology, Network Operations Center, Optical Engineering, Pattern Analysis, Process Capability, Python Programming/Scripting Language, React.js, Reporting Dashboards, SQL (Structured Query Language), Site Evaluation, Software Architecture, Software Engineering, Statistical Process Control, Structured Data, System Architecture, Testing, Traceability, Trend Analysis, User Interface/Experience (UI/UX), Workflow Analysis
LOCATION
Sunnyvale, CA
POSTED
3 days ago
JOB TITLE: Data Center Project Architect IV
LOCATION: Sunnyvale, CA (Onsite)
DURATION: 6 Months (possible extension)
PAY RANGE: $87 - $97/hr.

TOP 3 SKILLS:
  • 5+ years of experience with AWS services: S3, Lambda, API Gateway, CloudFront, DynamoDB, Athena, or equivalent cloud data stack
  • 5+ years of experience designing data pipelines and data models for manufacturing, quality, or IoT systems
  • 5+ years of experience building full-stack web applications (React/TypeScript frontend + cloud backend)

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%.

Basic Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field.
  • 5+ years of 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 of 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.


BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

IND123

About the Company

U

Ursus, Inc.