Data Engineer

Thailand - Pathumthani (Navanakorn)

Open 3 months, first seen by us 119 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Design, build and maintain scalable data pipelines, data products and enterprise data models
Build and optimize data architectures using Databricks, Delta Lake, Spark and SQL
Develop semantic layers, business metrics and governed datasets for self-service and natural language analytics
Set up data quality, lineage, observability and governance frameworks
Design enterprise-wide KPI frameworks and metric definitions as a single source of truth

From the employer’s posting

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

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 that power self-service analytics

Establish data quality, lineage, observability, and governance frameworks

Design and implement enterprise-wide KPI frameworks and metric definitions to create a single source of truth across functional domains

What you’ll bring

All qualifications

Core experience

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
Good communication, problem solving skills, and teamwork mindset.

Qualification wording

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

Good communication, problem solving skills, and teamwork mindset.

Apply at Lumentum

Posting record

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Open 3 monthsWe first saw this posting 119 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 8, 2026119 days ago
Recorded sightings: 233
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 119

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,881 similar postings that came down. Coming down is not always a hire.

Lumentum is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
Databricks
Delta Lake
Spark

Where the posting names them

- 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.

- 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.

- 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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Lumentum is seeking a Senior 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 single 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)

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation.

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