> Markdown version of [/jobs/ext/3952096-senior-manager-data-engineering](https://www.wearedevelopers.com/jobs/ext/3952096-senior-manager-data-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Manager, Data Engineering

- **Company:** Lumentum
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $145,600.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, BigQuery, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Dimensional Modeling, Distributed Computing Environment, Identity and Access Management, Machine Learning, Meta-Data Management, Cloud Services, DataOps, SQL Databases, Workflow Management Systems, Enterprise Data Management, Computer Network Operations, Software Security, Data Layers, Data Analytics, Data Management, Data Pipelines, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-manager-data-engineering-san-jose-ca--15d9c899-16f1-438c-a3a1-80743dc42057

## About the Role

Customer Relations, Energy Efficiency, Network Operations Center, Manufacturing, Photonics, Artificial Intelligence (AI), Product Support, Cloud Computing, Sales, Research & Development (R&D), * 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.

## Description

* 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.