About the job Data Platform Engineer (Management & DevOps)

Data Platform Engineer (Management & DevOps)

Position Overview

We 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 Responsibilities

Platform Operations & Management

• Plan and execute data platform upgrades, patches, and maintenance across multi-cloud environments
• Manage database and analytics platform lifecycle including version migrations and compatibility testing
• Implement automated patching strategies and change management procedures
• Coordinate maintenance windows and minimize service disruptions during updates
• Maintain platform documentation, runbooks, and operational procedures

Monitoring & Observability

• Design comprehensive monitoring solutions using Grafana dashboards and alerting systems
• Implement application performance monitoring with Sentry for error tracking and debugging
• Configure performance testing frameworks using K6 for load testing and capacity validation
• Set up analytics tracking with Google Analytics and custom telemetry solutions
• Deploy database monitoring using Redgate Monitor and performance analysis tools

Incident Management & Response

• Establish incident response procedures and on-call rotation management
• Implement automated alerting, escalation procedures, and service recovery protocols
• Conduct root cause analysis and post-incident reviews for continuous improvement
• Manage service level agreements (SLAs) and uptime monitoring across data platforms
• Coordinate with vendor support teams and manage critical issue resolution

Self-Provisioning & Automation

• Implement multi-cloud self-provisioning services using platforms like Onyxia
• Develop infrastructure as code (IaC) templates for automated resource deployment
• Build CI/CD pipelines for data platform deployments and configuration management
• Create self-service portals for development teams and data scientists
• Implement policy-based governance and resource optimization automation

Required Qualifications

Technical Skills

• 5+ years experience managing enterprise data platforms and database systems
• Expert knowledge of monitoring tools (Grafana, Prometheus, Sentry) and observability practices
• Strong experience with DevOps tools and practices (Docker, Kubernetes, Terraform, Ansible)
• Proficiency in scripting languages (Python, Bash, PowerShell) for automation and tooling
• Knowledge of multi-cloud architectures (AWS, Azure, GCP) and cloud-native services
• Experience with performance testing tools (K6, JMeter) and capacity planning methodologies

Platform Management Skills

• Proven experience with database administration and platform upgrade procedures
• Strong understanding of incident management frameworks (ITIL, SRE principles)
• Experience with configuration management and infrastructure as code practices
• Knowledge of security frameworks, compliance monitoring, and access management

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• Cloud 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 roles
• Knowledge of service mesh technologies and microservices architectures