Data Platform Engineering Manager

Berkshire Hathaway Homestate Companies, Workers Compensation Division, is looking for a Data Platform Engineering Manager to lead the team responsible for the organization's enterprise data platform and is accountable for its performance, reliability, security, scalability, and cost efficiency. This individual oversees the selection, implementation, operation, and continuous improvement of the technologies that store, process, and move data across the organization. The position requires broad expertise across relational, NoSQL, and analytical data platforms, with responsibility for developing and strengthening these capabilities within the team. The Manager leads day-to-day platform operations, including 24x7 support and incident response, and ensures delivery through Infrastructure as Code (IaC) and GitOps practices aligned with the Autonomous Composable Development (ACD) model.

Responsibilities

Directly supervise database engineers, including day-to-day direction, workload prioritization, performance management, 1:1s, and reviews; Develop the team's depth across relational, NoSQL, and analytical platforms and raise automation, IaC, and GitOps proficiency; Manage on-call rotation scheduling and escalation coverage; Own the operational data store estate (OLTP and NoSQL across MS SQL, Cosmos, and equivalents); Own transformation and data movement (ADF, Airflow, and replacement of HVR and SSIS approaches); Operate the analytical data platform (OneLake and Bronze, Silver, and Gold tiers); Select technology within each category and be accountable for reliability, performance, and cost; Manage data platform cost, licensing, and capacity per organizational guidelines; Define standards for GitOps schema management, IaC provisioning, and lifecycle automation; Author and review T-SQL, PowerShell, and IaC templates (Terraform, Azure DevOps); Move the team's work from manual execution to self-service, including database change management through Liquibase or equivalent tooling; Remain hands-on in design, implementation, and administration of the data platform estate and serve as final technical escalation point for complex incidents; Own redundancy planning, high availability design, and failover execution, including Always On availability groups, geo-replication, and tested failover procedures; Define monitoring standards on Dynatrace and oversee performance, availability, and capacity monitoring; Participate in the 24x7 on-call rotation and review post-incident reports; Implement and enforce enterprise data classification, PII handling, retention, and audit compliance requirements; Review and approve change records before implementation; Lead tooling evaluations and vendor assessments; Represent the data platform in cross-functional work with DevOps, Application Engineering, Security, and Analytics; Communicate technology trade-offs and platform risk to Director and VP levels

Requirements

Bachelor's degree in Computer Science, Management Information Systems, Data Engineering, or related discipline; 10+ years 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 across more than one database platform, with depth in SQL Server, Azure SQL, and Managed Instance, plus working experience with at least one of Postgres, MySQL, Cosmos, or Mongo; Database redundancy and high availability experience (Always On, geo-replication, or equivalent); Cloud data platform experience (Azure SQL, Fabric, or Databricks) and ETL/ELT; IaC and automation tooling (Terraform, Azure DevOps, PowerShell) with experience automating database provisioning and schema deployment; Expert-level SQL Server 2016–2022, Azure SQL, and Managed Instance; Working knowledge of Microsoft Fabric; Familiarity with relational and NoSQL platforms beyond the Microsoft stack (Postgres, MySQL, Cosmos, Mongo); ETL/ELT patterns and tooling (Azure Data Factory, SSIS, Fabric pipelines, HVR, Databricks) and medallion and lakehouse patterns; Terraform, Azure DevOps, Git-based workflows, PowerShell, and Python; Dynatrace monitoring; NYDFS Part 500, SOC audit compliance, and PII handling; Participation in a mandatory 24x7 on-call rotation; Ability to present technology decisions and trade-offs to Director, VP, and Analytics leadership; Ability to author clear standards, runbooks, change records, and investment proposals

Nice to have

Master's degree preferred; Two or more certifications strongly preferred: Microsoft Fabric Analytics Engineer (DP-600), Azure Data Engineer Associate (DP-203), Azure Database Administrator Associate (DP-300); Equivalent certifications in non-Microsoft data platforms are equally valued; Clause or LLM usage for data engineering preferred; Track record designing and operating data systems in regulated industries preferred

Benefits

Work From Home Program (up to 2 days per week upon eligibility); Modern Office Setting; Free On-Site Fitness Facility; Free On-Site Garage Parking; Paid Time Off; Paid Holidays; Retirement Savings Match; Group Health Insurance (Medical, Dental, and Vision); Hospital Indemnity Insurance; Life and AD&D Insurance; Long Term Disability Insurance; Accident and Critical Illness Insurance; Flexible Savings Accounts; Paid Community Volunteer Day; Employee Assistance Program; Tuition Reimbursement Program; Employee Referral Program; Diversity, Equity and Inclusion Program