Senior Engineering Manager - Enzyme
Leads the engineering team responsible for next-generation Materialized View capabilities within the Lakeflow data infrastructure platform. The role requires engineering management experience plus deep expertise in data infrastructure, distributed systems, database internals, and team development.
About the job
Responsibilities
- Lead an engineering team building next-generation Materialized View features for the Databricks Lakeflow platform.
- Recruit, develop, and upskill top-tier engineering talent.
- Build processes to implement product vision and strategy in line with organizational goals and priorities.
- Build software that is high quality, reliable, and easy to operate.
- Partner with product management and customers to understand customer needs.
- Own testing, quality, and service-level agreements for infrastructure products.
Requirements
- 5+ years of experience building data infrastructure systems such as Apache Spark or database internals.
- Passion for database systems, storage systems, distributed systems, or performance optimization.
- Experience managing engineering teams in complex technical domains, such as distributed data systems or database internals.
- Experience ensuring high-quality and reliable infrastructure services.
- Experience attracting, hiring, coaching, and developing engineers.
- Experience working with product management and directly with customers.
Compensation
- Local pay range: $228,600–$317,233 USD.
- Total compensation may include an annual performance bonus, equity, and benefits.
Skills
Spark, Materialized Views, Lakeflow, Data Infrastructure, Database Internals, Distributed Systems, Storage Systems, Performance Optimization, Service Level Agreements, Product Management
Similar jobs
Engineering Management jobs
Skydio
San Mateo, CA
Leads and develops a software engineering team building middleware and on-device services for autonomous drone platforms. The role combines people management with hands-on Python or C++ development, systems architecture, reliability improvements, and cross-functional technical leadership.
Vercel
San Francisco, CAHands-on engineering team lead building and evolving Next.js while coaching a small team and setting technical direction. Requires 8+ years of software engineering experience, strong React or framework architecture expertise, and continued production coding experience.
Crusoe
Bellevue, WALeads the deployment organization responsible for bringing global HPC and GPU infrastructure online, owning people, delivery, standards, vendors, and executive-level program risk. Requires 10+ years in network engineering or data center deployment and substantial engineering management experience.
Genius AI
San Francisco, CA
Leads Compute, Data, and Developer Experience teams, owning infrastructure strategy, reliability, developer enablement, vendor spend, and team growth. The role requires 8+ years of infrastructure or platform experience, 4+ years of engineering leadership, and deep expertise in AWS, Kubernetes, Terraform, ArgoCD, and observability.
Shield AI
Dallas, TX
Leads the Guidance and Control team responsible for developing, integrating, qualifying, and flight-testing autonomy and control algorithms for unmanned aerial systems. Requires substantial engineering leadership experience, controls expertise, and a track record of shipping products and developing high-performing teams.