Director of Engineering (Data Infrastructure)

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Executive & General ManagementExperience: 14+ yearsEducation: bachelorsSkills: ["Leadership","Communication","Strategic planning","Team building","Infrastructure as product"]

Lead the creation of Databricks' data infrastructure organization in Bengaluru, building bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime across 100+ regions. Define multi-year platform roadmaps, shape infrastructure as product, and recruit and mentor managers to scale world-class distributed systems.

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FursaFursa
Databricks
Databricks
9 months ago

Director of Engineering (Data Infrastructure)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Lead the creation of Databricks' data infrastructure organization in Bengaluru, building bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime across 100+ regions. Define multi-year platform roadmaps, shape infrastructure as product, and recruit and mentor managers to scale world-class distributed systems.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Director level

Key Responsibilities

  • •Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building disaster recovery that’s provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen
  • •Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent, hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work
  • •Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting
  • •Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic
  • •Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions

Key Requirements

  • •14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare
  • •Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from "how should we architect multi-region disaster recovery" to "why is this Kafka cluster exhibiting this latency pattern" while knowing when to coach versus when to decide
  • •Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time
  • •Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen
  • •BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred
Experience:14+ yearsDistributed systemsInfrastructureData infrastructurePetabyte-scaleMulti-region
Education:Bachelor's
Skills:LeadershipCommunicationStrategic planningTeam buildingInfrastructure as product
Languages:English
Tech Stack:Apache SparkDelta LakeKafkaDistributed systemsObservability

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn