Job Title

Role Title: Support Escalation Engineer (EEE)Product Area: Azure Databricks / Azure AnalyticsExperience Level: 5–10+ YearsEmployment Type: Full-TimeOverviewWe are seeking a highly skilled Embedded Escalation Engineer (EEE) with strong expertise in Azure Databricks and Azure Analytics. This role sits at the intersection of engineering and support, focusing on deep technical troubleshooting, escalation management, and driving product/service improvements.You will work closely with Azure Databricks Engineering and Support teams, acting as a key contributor to resolving complex customer issues and enhancing overall service reliability and customer experience.Mandatory SkillsStrong hands-on experience in Azure Databricks & Azure Analytics servicesExpertise in cloud troubleshooting, debugging, and escalation supportProficiency in at least one programming/scripting language: Python / Scala / Java / PowerShellExperience with distributed systems, big data processing, and cloud architectureStrong understanding of Azure platform (Compute, Storage, Networking)Key ResponsibilitiesLead deep-dive technical investigations to resolve critical customer escalations in Azure Databricks environmentsTroubleshoot complex issues related to data pipelines, clusters, performance, and integrationsDevelop automation tools, scripts, and diagnostics solutions to improve issue detection and resolutionIdentify recurring issues and trends, and drive engineering fixes or preventive measuresCollaborate with product engineering teams to file bugs, suggest design improvements, and ensure timely resolutionAct as a technical bridge between support and product teams, ensuring customer issues are addressed effectivelyDrive self-healing, self-service, and automation initiatives within support workflowsContribute to knowledge base, documentation, and best practices for internal teams and customersParticipate in architecture discussions and provide feedback to improve product reliability and supportabilityPreferred SkillsExperience with Apache Spark, Delta Lake, and big data ecosystemsKnowledge of ETL pipelines and data engineering workflowsFamiliarity with monitoring tools, logging frameworks, and observability platformsExperience in incident management and root cause analysis (RCA)Understanding of DevOps practices, CI/CD pipelines, and automation frameworksSoft SkillsStrong analytical and problem-solving mindsetExcellent communication and stakeholder management skillsAbility to work in high-pressure, customer-critical environmentsSelf-driven with a focus on continuous improvement and innovationWhy JoinWork on cutting-edge Azure Analytics & Databricks technologiesCollaborate with global engineering and product teamsOpportunity to influence product design and customer experienceBe part of a high-impact role solving real-world large-scale data challenges