We are seeking a dedicated and proactive Azure Data Lake Support Engineer to provide L2/L3 support for our Azure based data platform. This role involves monitoring, troubleshooting, and resolving issues across Azure Data Lake and related services to ensure smooth and reliable data operations.Key Responsibilities:Monitor and support Azure Data Lake Storage and related Azure data services (Data Factory, Synapse, Databricks, etc.).Handle incidents, service requests, and change requests in line with SLAs.Perform root cause analysis (RCA) and resolution for data failures, performance issues, and access-related problems.Troubleshoot data ingestion, transformation, and pipeline execution failures.Coordinate with DevOps, infrastructure, and development teams to resolve critical issues.Perform regular health checks, log analysis, and performance tuning on data lake workloads.Maintain documentation for runbooks, SOPs, and knowledge base articles.Ensure compliance with data governance, security, and access control policies.Provide on-call/off-hours support as part of a rotation (if applicable).Required Skills & Experience:2 5 years of experience in a production support or operations role, preferably in a data or cloud environment.Hands-on experience with Azure Data Lake (Gen1/Gen2), Azure Data Factory, and Azure Monitor.Strong troubleshooting skills in data pipelines, ETL failures, and storage/access issues.Working knowledge of Log Analytics, Azure Alerts, and monitoring tools.Experience with incident management tools like ServiceNow.Basic knowledge of SQL, PowerShell, or Python for support automation and scripting.Familiarity with ITIL processes (incident, change, problem management).Preferred Qualifications:Microsoft Certified: Azure Fundamentals or Azure Data Engineer Associate (DP-203).Exposure to Databricks, Synapse, Power BI, or Azure DevOps.Understanding of data governance, security, and access control in Azure.Soft Skills:Strong communication and stakeholder management skills.Ability to work under pressure and manage multiple priorities.Analytical mindset and attention to detail.Willingness to learn and adapt in a dynamic environment.
