Director of Engineering
Leads the organization and strategy for Databricks’ large-scale data infrastructure, including billing correctness, disaster recovery, reliability, deployment automation, and data integration. The role requires extensive distributed-systems experience, infrastructure leadership, and experience managing managers.
About the job
Responsibilities
- Deliver the infrastructure vision for systems processing billions in daily billing transactions, including disaster recovery, production-scale testing, billing correctness, and predictive observability.
- Build Bengaluru's data infrastructure organization by hiring engineering managers, developing infrastructure talent, and establishing a strong engineering culture.
- Own business-critical systems operating 24/7/365 across 100+ regions, improving reliability and eliminating operational toil through self-healing, self-tuning, and self-documenting frameworks.
- Ship platforms that compound engineering leverage, including billing correctness frameworks, regional deployment automation, petabyte-scale data integration systems, and automated testing infrastructure.
- Position infrastructure as a product for internal engineering teams by defining SLAs, measuring adoption and satisfaction, incorporating feedback, and demonstrating business value.
- Define multi-year infrastructure strategy and architecture while partnering with global infrastructure leaders and cross-functional stakeholders.
Requirements
- 14+ years of experience in distributed systems engineering.
- 6+ years leading infrastructure organizations and 4+ years managing managers.
- Technical depth in petabyte-scale data pipelines and distributed-systems reliability.
- Experience defining multi-year infrastructure visions and translating them into sequential deliverables.
- Experience building 99.999%+ reliable systems with SLOs, SLIs, chaos engineering, disaster recovery, and sophisticated observability.
- Proven ability to scale infrastructure organizations in high-growth environments, develop engineering managers, and maintain a high quality bar.
- Strong executive communication, cross-functional influence, global collaboration, and external technical representation skills.
- Bachelor's degree in Computer Science or Engineering.
Nice-to-haves
- Master's degree or PhD.
- Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech or billing systems, or infrastructure leadership through hypergrowth.
Compensation and Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
Skills
Distributed Systems, Data Pipelines, Disaster Recovery, SLOs, Slis, Chaos Engineering, Observability, Spark, Delta Lake, Billing Systems, Deployment Automation, Data Integration, Kafka, Multi-Region Architecture, Petabyte-Scale Data
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