Data Platform Engineer (Management & DevOps)

Blackfluo.ai; Paris; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

A technology firm in Nouvelle-Aquitaine, France, is looking for a Data Platform Engineer to oversee data platform operations, manage upgrades, and implement monitoring solutions using advanced tools. Candidates should have over 5 years of experience and be proficient in DevOps practices and cloud architecture. The role requires strong technical skills and a background in platform management.

Qualifications

• 5+ years experience managing enterprise data platforms.
• Expert knowledge of Grafana and observability practices.
• Strong experience with Docker and Kubernetes.

Responsabilités

• Plan and execute upgrades and maintenance across cloud environments.
• Design monitoring solutions using Grafana.
• Implement automated patching strategies.

Connaissances

Enterprise data platform management

Monitoring tools expertise

DevOps practices

Scripting languages proficiency

Multi-cloud architecture knowledge

Performance testing tools

Formation

Bachelor's degree in Computer Science or related field

Outils

Grafana

Sentry

Docker

Kubernetes

Terraform

Ansible

Description du poste

About the job 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

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

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