全职 Data Platform Engineer 工作, 薪水, CloudMile Federal Territory 公司招聘中 - Ricebowl

About the Role

We are looking for a Data Platform Engineer to support the day-to-day stability, performance, and reliability of enterprise data platforms in production.

This role focuses on hands-on troubleshooting, operational support, and platform maintenance, working under the guidance of senior data engineers, architects, and SRE teams.

You will support data pipelines, data warehouses, analytics platforms, and selected AI/ML services, ensuring issues are resolved efficiently and systems operate reliably in a production environment.

Key Responsibilities

Production Support & Incident Handling

• Act as an advanced support engineer for Data Platform incidents escalated from L1
• Troubleshoot and resolve medium-complexity production issues
• Participate in incident response activities, including:
• Log analysis and diagnostics
• Root cause identification
• Minor code or configuration fixes
• Fix validation and post-fix monitoring
• Escalate complex or systemic issues to Engineering or Architecture teams with clear findings and evidence
• Assist in post-incident reviews and documentation
• Create and maintain operational handbooks, runbooks, and SOPs
• [Bonus] Develop monitoring, alerting, or process automation tools to improve operational efficiency

Platform Operations & Reliability

• Monitor health, performance, and availability of:
• Data pipelines and orchestration workflows
• Data warehouses and data lakes
• Analytics and reporting platforms
• Perform routine operational tasks, including:
• Job restarts and failure recovery
• Data quality checks and validations
• Query or pipeline performance tuning
• Operational and configuration-level fixes
• Support platform stability improvements by following and enhancing existing runbooks and SOPs

Troubleshooting & Support

• Investigate issues across:
• Batch and streaming data pipelines
• SQL queries and data models
• APIs and data platform services
• Assist with analysis of:
• Query performance degradation
• Data latency or freshness issues
• Cost anomalies or resource over-utilization
• Follow, update, and improve troubleshooting guides and operational documentation

Collaboration & Knowledge Sharing

• Work closely with:
• L1 support engineers
• SRE teams
• Delivery and project teams during solution handover
• Support project-to-operations transition and production acceptance activities
• Contribute to internal documentation and shared knowledge base
• Share recurring issues, patterns, and learnings with the wider engineering team

Required Skills & Experience

Core Requirements

• 2–4 years of experience in:
• Data engineering
• Data platform operations
• Cloud or analytics support roles
• Hands-on experience with:
• Cloud platforms (GCP / AWS / Azure)
• Data warehouses and data lakes
• Batch and/or streaming data pipelines
• Strong SQL skills for:
• Data validation
• Issue investigation
• Performance analysis
• Experience troubleshooting:
• Failed data jobs
• Pipeline errors
• Data inconsistencies

Platform & Technical Skills

• Familiarity with:
• Data orchestration and workflow tools
• API- and microservice-based platforms
• Logging, monitoring, and alerting tools
• Basic understanding of:
• Distributed systems concepts
• Cloud infrastructure components

Exposure to AI / Advanced Workloads (Nice to Have)

• Exposure to supporting:
• AI / ML pipelines
• GenAI or inference services
• Basic understanding of:
• AI job execution and dependencies
• Model inference latency considerations
• Data inputs and outputs for AI workloads

Nice to Have

• Experience with:
• Containerized or serverless workloads
• CI/CD pipelines for data platforms
• Awareness of:
• Cost monitoring or FinOps concepts
• IAM and access control in cloud environments
• Prior experience in:
• Managed services
• Customer-facing support or operations roles

Working Style & Mindset

• Hands-on and detail-oriented
• Comfortable working with operational processes and runbooks
• Calm and methodical during production incidents
• Willing to learn and grow into deeper platform and engineering responsibilities
• Clear and structured communicator when escalating issues