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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bf25e8de-318"},"title":"Director of Engineering (Data Infrastructure)","description":"<p>Job Title: Director of Engineering (Data Infrastructure)</p>\n<p>Location: Bengaluru, India</p>\n<p>We&#39;re looking for a seasoned Director of Engineering to lead our data infrastructure organization in Bengaluru. As a founding technical leader in our fastest-growing engineering hub, you will be responsible for building world-class teams and shaping architectural decisions that ripple across the company.</p>\n<p>About the Role:</p>\n<ul>\n<li>You will build the data infrastructure organization that makes Databricks&#39; continued growth possible.</li>\n<li>Establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack.</li>\n<li>Define what world-class infrastructure looks like for the next decade of data platforms.</li>\n</ul>\n<p>Responsibilities:</p>\n<ul>\n<li>Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error.</li>\n<li>Build Bengaluru&#39;s data infrastructure organization by establishing it as the destination for India&#39;s top infrastructure talent.</li>\n<li>Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain.</li>\n<li>Ship platforms that compound engineering leverage across Databricks.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>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.</li>\n<li>Technical depth across petabyte-scale data pipelines and distributed systems reliability.</li>\n<li>Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly.</li>\n<li>Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability.</li>\n<li>Proven ability to scale infrastructure organizations in high-growth environments.</li>\n<li>Communication skills to make complex infrastructure decisions legible to executives.</li>\n</ul>\n<p>What You&#39;ll Need:</p>\n<ul>\n<li>BS in Computer Science or Engineering; MS or Ph.D. preferred.</li>\n<li>Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred.</li>\n</ul>\n<p>Benefits:</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p>Our Commitment to Diversity and Inclusion:</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.</p>\n<p>Compliance:</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to grant such access.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bf25e8de-318","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8290810002","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["distributed systems engineering","infrastructure organizations","petabyte-scale data pipelines","distributed systems reliability","SLOs/SLIs","chaos engineering","disaster recovery","observability"],"x-skills-preferred":["Apache Spark","Delta Lake","large-scale data infrastructure","fintech/billing systems"],"datePosted":"2026-04-18T15:48:43.683Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems engineering, infrastructure organizations, petabyte-scale data pipelines, distributed systems reliability, SLOs/SLIs, chaos engineering, disaster recovery, observability, Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems"}]}