DataOps Consultant, Lakehouse Support

Аналитика рынка

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Описание

Project description We are hiring a Support Engineer who combines production support expertise with DevOps engineering capability and AI fluency. This role spans the full D&E portfolio: in-house .NET/C# applications, APIs, event-driven systems, data platforms, and BI tools. You will ensure operational stability while continuously improving reliability through automation, observability, and modern DevOps practices. You will work directly alongside Software Engineers as the bridge between development and operations, owning incident resolution, CI/CD pipeline health, infrastructure automation, and production readiness. You will leverage AI tools daily to accelerate triage, automate runbooks, and proactively detect issues before they impact users. We are an AI-first engineering team: you will use AI-powered observability, automated diagnostics, and intelligent incident management to deliver faster resolution and higher system reliability. Responsibilities Perform deep operational diagnostics across data pipelines (batch/stream); Coordinate resolution across platform engineering, Data Engineers and data domain teams (Databricks, Snowflake, Palantir); Ensure correct usage of ITSM tools (e.g., ServiceNow) for incident tracking and lifecycle management; Monitor critical workflows using Dynatrace; Workflows orchestration using StoneBranch; Leverage metadata and documentation for troubleshooting and root cause analysis; Maintain clear ownership, escalation paths and communication durin

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