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Lumentum

Supplies photonic components for networks

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timePathum Thani, ThailandNo salary listedIn-person

About the Job

Requirements

  • A degree in Computer Engineering, Computer Science, IT, or a related field.
  • At least 10 years of hands-on experience as a Data Engineer or in a similar role.
  • Strong SQL and data modeling skills, including experience with Databricks, Delta Lake, Spark, SQL, and cloud-native technologies.
  • Strong analytical, troubleshooting, and problem-solving skills, with the ability to support production environments.
  • English proficiency for reporting to a foreign national.

Responsibilities

  • Design, develop, and maintain scalable data pipelines, data products, and enterprise data models for analytics, reporting, machine learning, and AI initiatives.
  • Build and optimize modern data architectures using Databricks, Delta Lake, Spark, SQL, and cloud-native technologies.
  • Develop and maintain curated semantic layers, business metrics, and governed datasets for self-service analytics and conversational AI solutions, including Databricks Genie and natural-language query platforms.
  • Partner with business stakeholders across Sales, Operations, Manufacturing, Supply Chain, Finance, and HR to translate business requirements into scalable data solutions and reusable data assets.
  • Design data models, metadata frameworks, business glossaries, and governance standards that enable natural-language interaction with enterprise data and improve AI-generated insights and query accuracy.
  • Collaborate with Data Scientists, Analytics Engineers, and BI developers to support advanced analytics, predictive modeling, and AI-driven decision-making.
  • Establish data quality, lineage, observability, and governance frameworks for trusted, secure, and compliant enterprise data assets.
  • Design and implement enterprise-wide KPI frameworks and metric definitions to establish a single source of truth across functional domains.
  • Optimize data performance, reliability, and scalability while reducing technical debt and improving platform efficiency.
  • Support AI-enabled analytics capabilities, including retrieval-augmented generation, vector search, knowledge repositories, and semantic search solutions.
  • Promote modern data engineering best practices, including CI/CD, Infrastructure as Code, automated testing, and data lifecycle management.
  • Partner with leadership and analytics teams to advance a centralized, AI-enabled analytics organization.

About the Company

Lumentum

Supplies photonic components for networks

Lumentum designs and manufactures optical and photonic components for data networks, data centers, sensing, and manufacturing, including diode lasers. Its devices convert electronic signals into light to enable high-speed data transmission and 3D sensing. The company differentiates itself with a broad, high-volume photonics platform that combines silicon photonics, laser diodes for 3D sensing, and integrated optical components for cloud, networking, and manufacturing, supporting large-scale deployment. Its goal is to increase the speed, flexibility, and efficiency of communication networks and sensing systems to meet growing cloud data traffic.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
2015

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