Lumentum is seeking a Data Engineer to join our Data Science and Data Engineering team. In this

role, you will design, build, and optimize scalable data platforms, pipelines, and analytics solutions

that enable data-driven decision-making across the enterprise. You will work closely with business

leaders, data scientists, analysts, and technology teams to transform complex data into actionable

insights that drive operational excellence, business growth, and strategic outcomes.

This is an opportunity to play a

key role

in advancing Lumentum's enterprise analytics capabilities

by developing modern data architectures, improving data quality and accessibility, and enabling AI

and advanced analytics initiatives. You will collaborate across functions including Sales,

Operations, Manufacturing, Supply Chain, and Finance to deliver impactful solutions in a fast-paced

and innovative environment.

Responsibility

• Design, develop, and maintain scalable data pipelines, data products, and enterprise data

models that support analytics, reporting, machine learning, and AI initiatives across

Lumentum.

• Build and optimize modern data architectures using Databricks, Delta Lake, Spark, SQL,

and cloud-native technologies to enable high-performance analytics and trusted business

insights.

• Develop and maintain curated semantic layers, business metrics, and governed datasets

that power self-service analytics and conversational AI solutions such as Databricks Genie

and other 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.

• Enable business users to interact with enterprise data through natural language interfaces

by designing data models, metadata frameworks, business glossaries, and governance

standards that 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 to ensure trusted,

secure, and compliant enterprise data assets.

• Design and implement enterprise-wide KPI frameworks and metric definitions to create a

source of truth across functional domains.

• Optimize data performance, reliability, and scalability while reducing technical debt and

improving platform efficiency.

• Support the development of AI-enabled analytics capabilities, including retrieval-augmented

generation (RAG), vector search, knowledge repositories, and semantic search

solutions that enhance data discovery and business productivity.

• Drive adoption of 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 Lumentum's vision of a centralized,

AI-enabled analytics organization.

Qualifications

• Degree in Computer Engineering, Computer Science, IT, or related fields.

• 10+years of hands-on experience as a Data Engineer or similar role.

• Strong SQL and data modeling skills, including Databricks, Delta Lake, Spark, SQL, and

cloud-native technologies

• Strong analytical, troubleshooting, and problem-solving skills with the ability to support

production environments.

• Good communication, problem solving skills, and teamwork mindset.

• Excellent English proficiency (reporting to foreign national)