Data Platform Engineering Manager (Azure)

Location: Sacramento, California; hybrid workplace with a Work From Home Program of up to 2 days per week upon eligibility.

Company

hirify.global' Workers Compensation Division operates insurance services and an enterprise information technology organization.

What you will do

• Lead and develop database engineers through workload prioritization, performance management, 1:1s, reviews, on-call scheduling, and escalation coverage.
• Own the operational data store estate across OLTP, SQL Server, Azure SQL, Managed Instance, NoSQL, and analytical platforms, selecting technologies based on workload requirements.
• Operate transformation and data-movement capabilities using Azure Data Factory, Airflow, HVR, SSIS, Microsoft Fabric, Databricks, and lakehouse or medallion architecture patterns.
• Define and implement GitOps, Infrastructure as Code, schema management, self-service provisioning, database change management, and environment-refresh automation.
• Design and validate high availability, redundancy, geo-replication, failover, monitoring, performance, capacity, and 24x7 incident-response practices.
• Partner with DevOps, Application Engineering, Security, Analytics, Directors, and VP-level stakeholders on standards, compliance, tooling, budgets, staffing, and platform investments.

Requirements

• Bachelor’s degree in Computer Science, Management Information Systems, Data Engineering, or a related discipline. A master’s degree is preferred.
• 10+ years of experience in database administration, data engineering, or data platform operations.
• 5+ years in a team lead, supervisory, or management role with direct people-management responsibility.
• Hands-on experience with more than one database platform, including depth in SQL Server, Azure SQL, and Managed Instance, plus working experience with at least one of Postgres, MySQL, Cosmos, or Mongo.
• Experience with database redundancy and high availability, including Always On, geo-replication, or equivalent approaches.
• Cloud data platform experience with Azure SQL, Microsoft Fabric, or Databricks, plus ETL/ELT experience.
• Experience with Terraform, Azure DevOps, PowerShell, Python, Git-based workflows, GitOps, database provisioning, and schema deployment automation.
• Expert-level knowledge of SQL Server 2016–2022, Azure SQL, and Managed Instance; working knowledge of Microsoft Fabric, relational and NoSQL platforms, ETL/ELT tools, lakehouse and medallion patterns, Dynatrace, NYDFS Part 500, SOC audit compliance, and PII handling.
• Ability to present technology decisions and trade-offs, author standards and runbooks, communicate risks and capacity proactively in writing, and explain technical data concepts to non-technical stakeholders.

Nice to have

• Two or more of Microsoft Fabric Analytics Engineer (DP-600), Azure Data Engineer Associate (DP-203), and Azure Database Administrator Associate (DP-300), or equivalent non-Microsoft certifications.
• Advanced Claude or LLM usage for data engineering and automation.
• Experience designing and operating data systems in regulated industries.

Culture & Benefits

• Hybrid work with up to 2 work-from-home days per week upon eligibility.
• Paid time off, paid holidays, retirement savings match, and tuition reimbursement.
• Medical, dental, vision, hospital indemnity, life and AD&D, long-term disability, accident, critical illness, and flexible savings benefits.
• Free lot parking, a paid community volunteer day, an employee assistance program, an employee referral program, and a diversity, equity, and inclusion program.