Data Engineer
At a glance
Mid-level Data Engineering role at Lumentum. Pathumthani · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain data pipelines, products and enterprise models for reporting, analytics, machine learning and AI
- Use Databricks, Delta Lake, Spark, SQL and cloud-native technologies to create analytics architectures and improve their performance
- Create governed datasets, business metrics and semantic layers for self-service analytics and natural-language data queries
- Turn requirements from business teams into reusable data assets, and work with data science and BI colleagues on advanced analytics
- Set data quality, lineage and governance practices, define shared KPIs, and support AI features such as RAG and vector search
What you bring
- A degree in computer engineering, computer science, IT or a related field
- At least ten years working hands-on as a data engineer or in a comparable role
- Strong SQL and data modeling skills, including experience with Databricks, Delta Lake, Spark and cloud-native technologies
- You can troubleshoot data issues, support production systems and communicate effectively in English
Who this fits
This senior-level role suits an experienced data engineer who works across business teams and partners with data science, analytics and BI colleagues. The role is based in Pathumthani, Thailand, and requires strong English because you will report to a foreign national.
From the employer
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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