Data Platform Engineer
il y a 2 jours
About the job Data Platform Engineer (Management & DevOps)Position OverviewWe are seeking a Data Platform Engineer to manage enterprise data platform operations including upgrades, patches, monitoring, and incident management, utilizing advanced tooling (Sentry, Grafana, K6, Google Analytics, Redgate Monitor) and implementing multi-cloud self-provisioning services with DevOps methodologies.Key ResponsibilitiesPlatform Operations & ManagementPlan and execute data platform upgrades, patches, and maintenance across multi-cloud environmentsManage database and analytics platform lifecycle including version migrations and compatibility testingImplement automated patching strategies and change management proceduresCoordinate maintenance windows and minimize service disruptions during updatesMaintain platform documentation, runbooks, and operational proceduresMonitoring & ObservabilityDesign comprehensive monitoring solutions using Grafana dashboards and alerting systemsImplement application performance monitoring with Sentry for error tracking and debuggingConfigure performance testing frameworks using K6 for load testing and capacity validationSet up analytics tracking with Google Analytics and custom telemetry solutionsDeploy database monitoring using Redgate Monitor and performance analysis toolsEstablish incident response procedures and on-call rotation managementImplement automated alerting, escalation procedures, and service recovery protocolsConduct root cause analysis and post-incident reviews for continuous improvementManage service level agreements (SLAs) and uptime monitoring across data platformsCoordinate with vendor support teams and manage critical issue resolutionImplement multi-cloud self-provisioning services using platforms like OnyxiaDevelop infrastructure as code (IaC) templates for automated resource deploymentBuild CI/CD pipelines for data platform deployments and configuration managementCreate self-service portals for development teams and data scientistsImplement policy-based governance and resource optimization automationRequired QualificationsTechnical Skills5+ years experience managing enterprise data platforms and database systemsExpert knowledge of monitoring tools (Grafana, Prometheus, Sentry) and observability practicesStrong experience with DevOps tools and practices (Docker, Kubernetes, Terraform, Ansible)Proficiency in scripting languages (Python, Bash, PowerShell) for automation and toolingKnowledge of multi-cloud architectures (AWS, Azure, GCP) and cloud-native servicesExperience with performance testing tools (K6, JMeter) and capacity planning methodologiesPlatform Management SkillsProven experience with database administration and platform upgrade proceduresStrong understanding of incident management frameworks (ITIL, SRE principles)Experience with configuration management and infrastructure as code practicesKnowledge of security frameworks, compliance monitoring, and access managementPreferred QualificationsBachelor's degree in Computer Science, Engineering, or related fieldCloud platform certifications (AWS DevOps, Azure DevOps, Google Cloud Engineer)Experience with data platform technologies (Hadoop, Spark, Kafka, Elasticsearch)Background in site reliability engineering (SRE) and platform engineering rolesKnowledge of service mesh technologies and microservices architectures #J-18808-Ljbffr
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