DataOps Consultant โ Lakehouse Support
- Hiring from
- Romania
- Work type
- Remote
- Posted
603,712 remote jobs, straight from company career pages
100% free ยท New jobs every minute
Show job descriptionHide job description
๐ We are hiring: DataOps Consultant โ Lakehouse Support! ๐
Are you a Support & DevOps Engineer who combines production support expertise with modern cloud, data pipelines, and AI-first engineering tools?
Join our team in a 100% Remote (Romania) role! In this role, you will bridge the gap between Development and Operations, ensuring the operational stability and high reliability of enterprise data platforms, APIs, event-driven systems, and .NET/C# applications! ๐๐ผโจ
๐ What you will do:
- ๐ L2/L3 Production Support: Perform deep operational diagnostics across batch and streaming data pipelines, APIs, and microservices.
- ๐ ๏ธ DevOps & CI/CD: Own and maintain CI/CD pipelines in Azure DevOps, deployment strategies, and IaC (Terraform, Bicep).
- ๐ Observability & Orchestration: Monitor critical workflows using Dynatrace, Azure Monitor, and StoneBranch / Airflow.
- ๐ค AI-First Engineering: Utilize AI tools daily (GitHub Copilot, Cursor, AIOps) for automated triage, predictive alerting, and runbook generation.
- ๐ค Cross-Team Collaboration: Coordinate incident resolution across Platform Engineering, Data Engineers, and data domain teams (Databricks, Snowflake, Palantir).
๐ฏ What we are looking for:
- Production Support & ITIL: L2/L3 support experience with structured Root Cause Analysis (RCA) and ITSM tools (ServiceNow).
- Cloud & DevOps: Strong hands-on experience with Azure (AKS, App Services, Functions), Docker, Kubernetes, and Terraform / Bicep.
- Data Platforms & Databases: Support experience with ETL/ELT pipelines (PySpark / Spark), Databricks / Palantir, and advanced SQL.
- Event-Driven & API: Understanding of event systems (Kafka, Solace, RabbitMQ) and REST APIs.
- Observability: Experience with Dynatrace, OpenTelemetry, Azure Monitor, or Data Observability platforms.
- Scripting: Proficiency in Python and PowerShell for operational automation.
โก Nice to have:
- Experience with Palantir Foundry or Monte Carlo Data Quality.
- Knowledge of Investment Management data (trade lifecycle, portfolio terminology).
๐ Location: Remote (Romania) ๐ท๐ด
๐ผ Industry: BCM Industry
๐ Req ID: VR-123002
๐ฉ Ready to join an AI-first engineering team?