What is EverOps?

Some of the world’s most advanced and innovative global enterprise software and tech companies have trouble finding engineering partners that have the ability to perform highly complex deliveries and services that match their rigorous standards. These teams need a partner that can co-own problems from within their own development environment. Enter EverOps – the premier Embedded Service Provider. We partner directly with our customer engineering and operations teams to help them assess and address a variety of delivery and service related issues in the DevOps and DataOps space.

The Challenge

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.

Automation-First Mindset

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. Whether it’s a DBA task that requires someone to log in and click buttons, a pipeline restart that gets triggered by a Teams message, or a database refresh that runs off a shared checklist. 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.

The Mission

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 environments. 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.

On-Call & Off-Hours Expectations

This role participates in a rotating on-call schedule that includes off-hours coverage. Operational incidents, pipeline failures, and database issues do not follow business hours, and this team provides extended coverage to ensure continuity for our customers. 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 that require low-traffic maintenance windows
Produce clear written shift handoff notes and daily operational reports so the next engineer on rotation has full situational awareness

What You’ll Do

Own day-to-day operations of Azure SQL Managed Instance environments including performance monitoring, troubleshooting blocking and long-running queries, index and statistics maintenance, and SQL Agent job management
Monitor, triage, and restart Azure Data Factory pipeline runs; understand ETL dependencies and troubleshoot integration failures between ADF, SQL MI, and Azure Storage
Manage SSIS package execution and re-runs, including HR/personnel integration processes and common failure pattern diagnosis
Support Azure infrastructure operations including App Services, App Service Environments, deployment slots, WebJobs, Storage Accounts, and certificate lifecycle management
Validate and test database backups, restores, and job chains to ensure recoverability
Continuously inventory manual operational tasks across the data stack and prioritize them for automation
Design and implement automation solutions using PowerShell, Python, Azure Automation, Logic Apps, or Azure Functions to eliminate repetitive manual work
Build self-healing pipeline patterns in ADF and Azure DevOps – automatic retry logic, alerting, and recovery runbooks
Build and maintain CI/CD pipelines in Azure DevOps for data platform and infrastructure deployments
Participate in regular customer and internal EverOps scrums
Diagnose and differentiate between application-layer, data platform, and infrastructure-layer issues
Produce high-quality daily operational reports and documentation
Participate in the off-hours on-call rotation and perform planned off-hours maintenance as required

Required Skill Set

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

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

SSIS

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

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

Soft Skills

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

You Have

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

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

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

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