EverOps - Senior DataOps Engineer

• This role requires both breadth and depth across Azure and SQL. The work spans application operations, data platform engineering, ETL pipelines, and Azure infrastructure. • Automation & Toil Elimination • Demonstrated track record of identifying manual operational processes and replacing them with automation • Scripting proficiency in PowerShell and/or Python sufficient to automate DBA tasks, pipeline operations, and Azure resource management end-to-end • Experience building automation with Azure-native tools: Azure Automation Runbooks, Logic Apps, Azure Functions, and Event Grid • Experience building self-healing patterns – automatic retries, failure notifications, and recovery runbooks for ADF pipelines and SQL Agent jobs • Ability to write and maintain automation that others on the team can run, maintain, and extend without the original author present • Familiarity with source-controlling operational scripts and runbooks so automation is versioned, reviewable, and auditable • SQL Managed Instance & SQL Server • Strong SQL performance troubleshooting – blocking, deadlocks, indexing, statistics, and long-running query analysis • Hands-on experience with SQL Agent jobs, maintenance plans, and automated job chains • Database refresh and cloning workflows for dev/staging environment management • Backup and restore validation, point-in-time recovery, and recoverability testing • Experience with MSSQL on-premises and Azure SQL Managed Instance (SQLMI) • Azure Data Factory • Azure Data Factory • Monitoring and alerting on ADF pipeline runs across complex multi-stage pipelines • Restarting and recovering failed pipelines from the correct activity checkpoints • Understanding of ETL dependency chains and data lineage within ADF • Troubleshooting integration runtime issues, linked service connectivity, and pipeline-to-SQL MI integration • Familiarity with ADF triggers, scheduling patterns, and data flow debugging • Running, re-running, and monitoring SSIS packages in production • Diagnosing and resolving common SSIS failure patterns • Experience with HR/personnel data integration processes via SSIS • Azure Infrastructure • App Services and App Service Environments – configuration, scaling, diagnostics, and slot management • Deployment slot swaps – staging-to-production promotion workflows • WebJob management – start/stop operations and log monitoring • Storage Accounts – queues, blob containers, and file ingestion pattern troubleshooting • Certificate lifecycle management – uploading, binding, and renewal workflows • Diagnosing Azure-side performance degradations and differentiating them from application-layer issues • Azure DevOps • Azure DevOps • Strong hands-on experience with Azure DevOps Pipelines – authoring and maintaining multi-stage YAML pipelines for data platform and infrastructure deployments • Work item and backlog management in Azure DevOps Boards • Repo and branch strategy management in Azure Repos • Application Operations • Ability to validate application availability and health across integrated service tiers • Experience identifying whether issues are code-related, data-related, or infrastructure-related • Comfort operating within a structured platform team supporting a production application environment • Comfort making decisions independently during overnight and off-hours on-call coverage • Clear, concise written communication is critical • Strong pattern recognition for troubleshooting across data, application, and infrastructure tiers • 5+ years of professional experience as a DBA, DataOps Engineer, or Platform/Site Reliability Engineer with a strong data focus • Deep hands-on experience with Microsoft Azure – including SQL Managed Instance, Azure Data Factory, App Services, and Azure Storage • Strong MSSQL administration background including performance tuning, backup/restore operations, and SQL Agent job management • Experience working on or directly supporting a platform team in an enterprise environment • Hands-on experience with Azure DevOps Pipelines for data platform and infrastructure deployments • Strong scripting skills in PowerShell, T-SQL, Python, or Bash for operational automation • Proven experience identifying manual toil in a data or operations environment and shipping automation to replace it • Hands-on experience with at least one Azure automation tool – Azure Automation Runbooks, Logic Apps, Azure Functions, or Event Grid • Clear, concise written communication capable of producing daily operational reports and shift handoffs that stand on their own • Comfort making independent troubleshooting decisions during off-hours on-call coverage • Strong pattern recognition for operational troubleshooting across data, application, and infrastructure tiers • Ability to balance planned maintenance work with unplanned operational incidents • Extra Awesome • Extra Awesome • DevOps engineering experience – IaC with Terraform or Bicep, CI/CD pipeline design, and Azure infrastructure automation • Experience building event-driven automation using Azure Event Grid, Service Bus, or Logic Apps to react to data platform events • Experience implementing Azure Monitor alerts wired to automated remediation actions via Azure Automation or Azure Functions • Experience with Azure Monitor, Log Analytics, and KQL for operational alerting and diagnostics • Familiarity with Azure Key Vault, RBAC, and Azure AD for secure data platform operations • Experience with Azure Synapse Analytics or Databricks as a data platform extension • Industry certifications – especially DP-300 (Azure Database Administrator), AZ-104, AZ-400, or DP-203 • Experience in SaaS or managed services environments supporting multiple concurrent customers • Familiarity with containerization using Docker or AKS for data platform services