Principal Engineer, Validation Data Platform

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD

Singapore

On-site

SGD 120,000 - 180,000

Full time

11 days ago

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Job summary

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD seeks a Validation Data Platform Engineer to own a scalable, reliable DC SSD Validation Control Tower. You will drive platform services, data integrations, observability, health automation, and trusted validation insights for global engineering teams.

You will define architecture, implement automated pipelines, establish data quality controls, and lead production-readiness for validation systems, partnering with BI and infrastructure teams to

Qualifications

  • Bachelor's degree in Software Engineering, Computer Engineering, Data Engineering, Information Systems, or a related field.
  • Experience owning or sustaining a production platform, data product, observability solution, developer tool, or BI application.
  • Experience designing and supporting integrations across multiple systems, incl. authentication, schema evolution, monitoring, and data validation.
  • Strong software engineering capability in Python or a comparable language.

Responsibilities

  • Define and evolve platform architecture, service boundaries, deployment models, and roadmaps for the Validation Control Tower.
  • Develop and maintain integrations using APIs, databases, events, MCP-based interfaces, and automated pipelines.
  • Implement scalable metric onboarding, RAG computation, drill-down navigation, notification, and operational intelligence capabilities.
  • Establish data contracts, validation controls, lineage tracking, freshness monitoring, and failure-handling mechanisms.
  • Build observability, telemetry, dashboards, alerts, and diagnostics for platform reliability and decision-making.
  • Lead release engineering activities including automated testing, CI/CD gates, rollback mechanisms, and production-readiness validation.
  • Resolve platform and data-feed incidents through structured triage, RCAs, corrective actions, and reliability improvements.
  • Partner with metric owners, BI teams, infrastructure teams, and source-system stakeholders to translate business intent into testable tech solutions.
  • Leverage AI-assisted tools and automation to improve productivity and accelerate analysis.
  • Apply AI responsibly to generate insights while ensuring data quality, governance and security.

Skills

Python
Data engineering
Observability
CI/CD
APIs

Education

Bachelor's degree

Tools

JIRA
JAMA
Summit
Progeny
Power BI

Job description

The Validation Data Platform Engineer owns the reliability, scalability, and operational excellence of the DC SSD Validation Control Tower, driving platform services, data integrations, observability, health automation, and trusted validation insights for global engineering teams.

Main Responsibilities
  • Define and evolve platform architecture, service boundaries, deployment models, and technical roadmaps for the Validation Control Tower.

  • Develop and maintain integrations using APIs, databases, events, MCP-based interfaces, and automated pipelines while preserving authoritative systems of record.

  • Implement scalable metric onboarding, RAG computation, drill-down navigation, notification, and operational intelligence capabilities.

  • Establish data contracts, validation controls, lineage tracking, freshness monitoring, and failure-handling mechanisms across validation health pillars.

  • Build observability, telemetry, dashboards, alerts, and diagnostics that improve platform reliability and operational decision-making.

  • Lead release engineering activities including automated testing, CI/CD quality gates, rollback mechanisms, and production-readiness validation.

  • Resolve platform and data-feed incidents through structured triage, root-cause analysis, corrective actions, and reliability improvements.

  • Partner with metric owners, BI teams, infrastructure teams, and source-system stakeholders to translate business intent into testable technical solutions.

  • Leverage AI-assisted tools, automation frameworks, and data-driven workflows to improve engineering productivity and accelerate analysis.

  • Apply AI technologies responsibly to generate actionable insights, improve observability, and reduce manual effort while maintaining data quality, security, and governance

  • Evaluate emerging AI capabilities and integrate validated solutions into the Control Tower platform with appropriate human verification and engineering judgment.

Minimum Qualifications / Experience
  • Bachelor's degree in Software Engineering, Computer Engineering, Data Engineering, Information Systems, or a related technical field.

  • Demonstrated experience owning or sustaining a production platform, data product, observability solution, developer tool, or business intelligence application.

  • Experience designing and supporting integrations across multiple systems, including authentication, schema evolution, monitoring, and data validation.

  • Strong software engineering capability in Python or a comparable language

PreferredTechnical Skills
  • Experience with enterprise dashboards, metric platforms, operational control towers, data observability, or reliability engineering.

  • Familiarity with REST APIs, MCP-based integration, cloud-hosted services, containerized applications, and infrastructure automation.

  • Experience with Jira, JAMA, Summit, Progeny, Power BI, or comparable engineering workflow and data systems.

  • Knowledge of SSD validation, qualification, lab operations, telemetry, test execution, or engineering program management.

  • Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes.

Soft Skills
  • Structured problem-solving and sound technical judgment.

  • Clear communication and cross-functional stakeholder management.

  • Ability to operate independently in ambiguous environments and drive execution to closure.

  • Technical leadership, mentoring, and influence without direct authority.

Embody Micron's Core Values
  • People - Respect, develop and empower others

  • Innovation - Drive continuous improvement and breakthrough thinking

  • Tenacity - Show grit and determination

  • Collaboration - Build trust and foster teamwork

  • Customer Focus - Deliver excellence and value

  • Speed - Act with purpose and set the pace

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