Senior Manager, Data Engineering

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 illuminating the networks of tomorrow with advanced photonic technologies that enable AI, data centers, telecom, industrial, and sensing applications. As AI accelerates the global demand for bandwidth and energy efficiency, we deliver the building blocks that keep data moving reliably, efficiently, and at massive scale. Our optical products support AI and compute infrastructure, cloud and DCI environments, metro and long-haul networks, while our lasers drive breakthroughs in precision manufacturing and sensing.

For nearly five decades, Lumentum has been at the intersection of light and innovation. What began as a vision with JDS Uniphase to harness the power of photonics has evolved into a global force driving the communication infrastructure of tomorrow.

At Lumentum, we’re building more than a business-we’re building a team of passionate innovators whose drive to collaborate, create, and connect the world fuels everything we do. We are part of the AI technology revolution, and we are illuminating the path forward. Headquartered in San Jose, California, we operate worldwide through a network of R&D, manufacturing, and sales locations.

Senior Manager, Data Engineering

Responsibilities

• Architect and implement scalable cloud-based lakehouse and data warehouse solutions using Databricks and AWS.
• Design and optimize existing and future enterprise data models and semantic layers.
• Build and maintain high-performance batch and real-time data pipelines, including ETL/ELT and streaming solutions.
• Implement effective data quality frameworks, monitoring, and observability.
• Establish CI/CD pipelines and DataOps best practices for automated, reliable, and secure deployment.
• Implement enterprise data governance standards, including cataloging, lineage, metadata management, and data access controls.
• Design and implement strong security and role-based access management across enterprise data platforms.
• Build governed, AI-ready data foundations that enable self-service analytics, AI-assisted data exploration, and advanced analysis using capabilities such as Databricks Genie and Genie Code.
• Enable business, engineering, and analytics teams to securely access trusted enterprise data and leverage conversational analytics and AI-assisted analysis while maintaining appropriate governance, security, and data quality controls.
• Build the data foundation required for AI, automation, machine learning, and advanced analytics initiatives.
• Lead and mentor a team of data engineers, setting technical standards and engineering best practices.
• Champion a culture of data excellence, accountability, self-service enablement, and continuous innovation.

Qualifications

• 10+ years of experience in data engineering, data architecture, or related fields.
• 5+ years of experience leading and developing technical teams.
• Deep expertise in SQL, cloud data platforms, and distributed data processing frameworks.

• Hands-on experience with modern cloud data platforms such as Databricks, Redshift, or BigQuery.

• Experience building governed data platforms and data products that support self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads.
• Experience with Databricks capabilities, including lakehouse architecture, Unity Catalog, and AI-assisted analytics capabilities such as Genie and Genie Code, is preferred.

• Strong understanding of enterprise data modeling, including dimensional modeling and semantic layers.

• Experience with orchestration tools and data pipeline automation.
• Proven ability to build scalable, secure, governed, and reliable enterprise data solutions.
• Strong communication skills with the ability to partner cross-functionally with business, engineering, analytics, and technology teams.

Pay Range:

Disclaimer:

Final base salary for the successful candidate will depend on multiple factors, including but not limited to, job location, where work will be performed, qualifications, work history and relevant experience. With our continual goal of making Lumentum a best place to work for our employees, we strive to offer employees competitive total compensation packages, which may include annual bonus, commission for certain sales roles, equity, and health and welfare benefits.