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Director of Engineering (Data Infrastructure)
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ICT
💰 Salary Not shared
📊 Market ₹1,500,000–₹2,500,000/mo (₹18,000,000–₹30,000,000/yr)
About the Company
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops
Responsibilities
- ● Build the data infrastructure organization that makes Databricks' continued growth possible.
- ● Establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across the entire monetization stack.
- ● Oversee multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale.
- ● Define what world-class infrastructure looks like for the next decade of data platforms.
- ● Shape architectural decisions that ripple across the company.
- ● Champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally.
- ● Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error.
- ● Build 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 se.
Requirements
- ● Built infrastructure organizations at companies where five nines weren't simply aspirational.
- ● Experience where petabyte-scale wasn't marketing but Monday.
- ● Experience where the infrastructure team's technical leverage determined whether the business could scale or stall.
- ● Technical depth to debate data architecture.
- ● Strategic vision to define multi-year platform roadmaps.
- ● Leadership craft to build teams that top engineers want to join.
- ● Conviction that data infrastructure done right doesn't just support the business; it defines what's possible.
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