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Berkshire Hathaway Homestate Companies - Workers Compensation DivisionCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing enterprise data platforms, focusing on performance, reliability, and security while leading teams in database administration and data engineering. Proficient in cloud data platforms, automation, and compliance standards within regulated industries.
Highest-signal resume keywords
Database AdministrationData EngineeringCloud Data Platform ExperienceIaC and Automation ToolingTeam Leadership
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead the team responsible for the organization's enterprise data platform
- Own platform performance, reliability, security, scalability, and cost efficiency
- Oversee selection, implementation, operation, and continuous improvement of data storage, processing, and movement technologies
- Directly supervise Database engineers, including workload prioritization, performance management, 1:1s, and reviews
- Develop team capabilities across relational, NoSQL, and analytical platforms, automation, IaC, and GitOps
- Manage on-call rotation scheduling and escalation coverage
- Own the operational data store estate across OLTP and NoSQL platforms
- Own transformation and data movement using ADF, Airflow, and replacement approaches for HVR and SSIS
- Operate the analytical data platform, including OneLake and Bronze, Silver, and Gold tiers
- Select technologies and manage reliability, performance, cost, licensing, and capacity
- Define standards for GitOps schema management, IaC provisioning, and lifecycle automation
- Author and review T-SQL, PowerShell, and IaC templates using Terraform and Azure DevOps
- Move team processes from manual execution to self-service, including database change management and environment refresh automation
- Champion Claude and LLM tooling for schema documentation, data lineage, query optimization, and automation
- Design, implement, administer, and provide final technical escalation for the data platform estate
- Own redundancy planning, high availability, failover execution, and HA/DR testing
- Define Dynatrace monitoring standards and lead performance tuning and bottleneck resolution
- Review post-incident reports and drive remediation to closure
- Enforce data classification, PII handling, retention, audit compliance, and data security requirements
- Review and approve change records before implementation
- Lead tooling evaluations and vendor assessments
- Coordinate capacity planning, budgeting, and staffing with the Director
- 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
- Author investment proposals involving significant budget or operational risk
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Management Information Systems, Data Engineering, or related discipline required; Master’s preferred
- Microsoft Fabric Analytics Engineer (DP-600), Azure Data Engineer Associate (DP-203), Azure Database Administrator Associate (DP-300), or equivalent certifications strongly preferred
- 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 required
- 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, including Always On, geo-replication, or equivalent
- Cloud data platform experience with Azure SQL, Fabric, or Databricks and ETL/ELT
- IaC and automation tooling experience with Terraform, Azure DevOps, and PowerShell
- 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
- ETL/ELT patterns and tooling, including Azure Data Factory, SSIS, Fabric pipelines, HVR, and Databricks
- Terraform, Azure DevOps, Git-based workflows, PowerShell, and Python
- Repository and GitOps fluency sufficient to review and direct IaC contributions
- Dynatrace monitoring
- NYDFS Part 500, SOC audit compliance, and PII handling
- Participation in a scheduled on-call rotation is mandatory
- Clause or LLM usage for data engineering preferred
- Experience designing and operating data systems in regulated industries preferred
Benefits
Comp & perks- 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
- Retirements 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQL ServerAzure SQLPostgresMySQLCosmosMongoETL/ELTT-SQLPowerShellPython
Soft Skills
Team ManagementPerformance ManagementCommunicationProblem SolvingCollaboration
Tools & Technologies
Azure Data FactoryTerraformAzure DevOpsDynatraceMicrosoft Fabric
Certifications & Qualifications
Microsoft Fabric Analytics Engineer (DP-600)Azure Data Engineer Associate (DP-203)Azure Database Administrator Associate (DP-300)
Industry Keywords
Data SecurityPII HandlingAudit ComplianceHigh AvailabilityRegulated Industries