Senior Manager , Data Engineering

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.

• Architect and implement scalable cloud-based lakehouse/warehouse solutions(Databricks/AWS)
• Design and optimize existing and future enterprise data models
• Build and maintain high-performance batch and real-time data pipelines (ETL/ELT, streaming)
• Implement effective data quality frameworks and monitoring
• Establish CI/CD pipelines and Data Ops best practices for automated and secure deployment
• Implement data governance standards including cataloging, lineage, and metadata management
• Design strong security controls and access management
• Build the foundation for AI, automation, 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, and continuous innovation

Qualifications:

• 10+ years of experience in data engineering, data architecture, or related fields
• 5+ years leading and developing technical teams
• Deep expertise in SQL, cloud data platform and distributed data processing frameworks
• Hands-on experience with modern cloud data platforms (Databricks, Snowflake, Redshift, Big Query)
• Experience with ETL/ELT tools such as Alteryx and Informatica
• Strong understanding of data modeling (dimensional modeling and semantic layers)
• Experience with orchestration tools and data pipeline automation
• Proven ability to build scalable, secure, and reliable enterprise data solutions
• Strong communication skills with the ability to partner cross-functionally.