Senior DataOps Engineer

Role Description

EverOps is looking for a Senior DataOps Engineer who combines deep database administration expertise with cloud data platform and pipeline engineering skills. This role sits on a platform team and requires someone who can own the full data operations stack, from SQL Managed Instance performance troubleshooting and Azure Data Factory pipeline monitoring to Azure infrastructure diagnostics, with minimal direction. You will be a critical operational resource and must be comfortable making independent decisions, including during off-hours coverage.

A core expectation of this role is a relentless focus on identifying manual processes within the data stack and replacing them with reliable, repeatable automation. This engineer sees those as backlogs, not workflows. You will be expected to actively inventory manual toil, prioritize it, and ship automation that eliminates it. This is not a secondary responsibility; it is a core deliverable of the role.

As a Senior DataOps Engineer at EverOps, you will join our U.S.-Based Virtual Operating Center (your home office), working with a team of dynamic engineers embedded on a platform team managing a production Azure data environment. You will not be siloed; the work spans the full data and application platform stack. Our existing team is eager to empower and mentor each new hire to ensure success.

This role participates in a rotating on-call schedule that includes off-hours coverage. You will be expected to:

• Participate in a scheduled off-hours on-call rotation shared across the team.
• Respond to and resolve incidents, failed pipeline runs, and database alerts outside of standard business hours when on-call.
• Perform planned off-hours maintenance tasks such as database refreshes, certificate renewals, and deployment slot swaps.
• Produce clear written shift handoff notes and daily operational reports.

Qualifications

• 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.

Requirements

• 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).
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 100% remote workplace – We’ve been remote since Day 1!
• Unlimited Paid Time Off.
• Equity – If you display ownership of the work you’re doing you’ll become a true owner of the company.
• 401K with company contribution.
• Company sponsored healthcare.
• Competitive compensation including on-call rotation compensation.
• Opportunities to accelerate professional growth with access to Azure training and certification programs.