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Berkshire Hathaway

Diversified holding company across insurance, utilities

Data Platform Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSacramento, CA, USA$151.8k - $194.6k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Management Information Systems, Data Engineering, or a related discipline is required.
  • Ten or more years of experience in database administration, data engineering, or data platform operations.
  • Five or more years in a team lead, supervisory, or management role with direct people-management responsibility.
  • Hands-on experience across 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, such as Always On or geo-replication.
  • Cloud data platform experience with Azure SQL, Fabric, or Databricks, and ETL/ELT.
  • Experience with IaC and automation tooling including Terraform, Azure DevOps, and PowerShell, and automating database provisioning and schema deployment.
  • Expert-level knowledge of SQL Server 2016–2022, Azure SQL, and Managed Instance, and working knowledge of Microsoft Fabric.
  • Familiarity with relational and NoSQL platforms beyond the Microsoft stack, including Postgres, MySQL, Cosmos, or Mongo, sufficient to evaluate and recommend the appropriate store for a workload.
  • Knowledge of ETL/ELT patterns and tooling including Azure Data Factory, SSIS, Fabric pipelines, HVR, and Databricks, as well as medallion and lakehouse patterns.
  • Knowledge of Terraform, Azure DevOps, Git-based workflows, PowerShell, and Python, with repository and GitOps fluency sufficient to review and direct the team's IaC contributions.
  • Knowledge of Dynatrace monitoring, NYDFS Part 500, SOC audit compliance, and PII handling.
  • Ability to present technology decisions and trade-offs to Director, VP, and Analytics leadership; author clear, defensible, financially grounded standards, runbooks, change records, performance feedback, and investment proposals; proactively communicate status, risks, and team capacity in writing; and explain technical data concepts in terms of business outcomes.
  • Participation in a scheduled on-call rotation, including responding to critical incidents, system alerts, and operational emergencies outside normal business hours, is a mandatory condition of employment.
  • Participation in the Work From Home Program is available for up to two days per week upon eligibility.

Responsibilities

  • Lead the team responsible for the enterprise data platform and be accountable for its performance, reliability, security, scalability, and cost efficiency.
  • Oversee selection, implementation, operation, and continuous improvement of technologies that store, process, and move data across the organization.
  • Lead day-to-day platform operations, including 24x7 support and incident response, and ensure delivery through Infrastructure as Code (IaC) and GitOps practices aligned with the Autonomous Composable Development (ACD) model.
  • Directly supervise Database engineers, including day-to-day direction, workload prioritization, performance management, 1:1s, and reviews aligned to the IC level framework.
  • Develop team depth across relational, NoSQL, and analytical platforms, and improve automation, IaC, and GitOps proficiency.
  • Close the gap between defined standards and demonstrated team practice.
  • Manage on-call rotation scheduling and escalation coverage.
  • Surface risks, gaps, and disagreements in writing when identified, and resolve cross-team blockers directly with peer leaders, escalating only matters that cannot be settled at that level.
  • Own the operational data store estate, including OLTP and NoSQL across MS SQL, Cosmos, and equivalent platforms; recommend the appropriate store for each workload.
  • Own transformation and data movement using ADF and Airflow, and replace the existing HVR and SSIS approaches.
  • Operate the analytical data platform, including OneLake and the Bronze, Silver, and Gold tiers, to the same standards as the relational estate.
  • Select technology within each category and ensure the reliability, performance, and cost of the chosen technologies.
  • Manage data platform cost, licensing, and capacity in accordance with organizational guidelines.
  • 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 for database provisioning and schema deployment.
  • Move team work from manual execution to self-service, including database change management through Liquibase or equivalent tooling and automation of environment refreshes.
  • Ensure the team's participation in cross-team automation initiatives, delivering post-configuration requirements, provisioning inputs, and integration constraints to partner engineering teams on time.
  • Champion Claude and LLM tooling for schema documentation, data lineage, query optimization, and automation, and mentor engineers in advanced usage.
  • Remain hands-on in designing, implementing, and administering the data platform estate, including Azure SQL, Managed Instance, SQL Server, and adopted relational, NoSQL, and analytical platforms; serve as the final technical escalation point for complex incidents.
  • Own redundancy planning, high-availability design, and failover execution across the estate, including Always On availability groups, geo-replication, and tested failover procedures; validate HA/DR through regular testing and remediate single points of failure.
  • Define monitoring standards on Dynatrace and oversee performance, availability, and capacity monitoring across the data platform estate; lead complex performance tuning and bottleneck resolution.
  • Participate in the 24x7 on-call rotation, review post-incident reports, and drive remediation to closure.
  • Implement and enforce enterprise data classification, PII handling, retention, and audit compliance requirements within the data platform estate; partner with Security on data security aligned with NYDFS Part 500 and SOC requirements.
  • Ensure team adherence to documentation and change management standards, and review and approve change records before implementation.
  • Lead tooling evaluations and vendor assessments; coordinate with the Director on capacity planning, budgeting, and staffing.
  • Represent the data platform in cross-functional work with DevOps, Application Engineering, Security, and Analytics, and resolve technical boundaries between teams directly.
  • Communicate technology trade-offs and platform risk to Director and VP levels, and author proposals for investments involving significant budget or operational risk.

Desired Qualifications

  • A master's degree is preferred.
  • Two or more of the following certifications are strongly preferred: Microsoft Fabric Analytics Engineer (DP-600), Azure Data Engineer Associate (DP-203), and Azure Database Administrator Associate (DP-300); equivalent certifications in non-Microsoft data platforms are equally valued.
  • Experience using Claude or LLMs for data engineering is preferred.
  • A track record designing and operating data systems in regulated industries is preferred.

About the Company

Berkshire Hathaway

Diversified holding company across insurance, utilities

Berkshire Hathaway is a diversified holding company that owns and manages a portfolio of businesses across insurance, utilities, manufacturing, and retail. It generates revenue from the profits of its subsidiaries and from investment income from its large portfolio of stocks and bonds. Its operations include providing property and casualty insurance, operating utility companies, manufacturing goods, and owning retail brands such as Borsheim's Fine Jewelry. Its goal is to build long-term shareholder value by sustaining cash flow and value across a broad mix of high-quality companies and investments.

Company size
11-50
Company stage
IPO
Headquarters
Omaha, NE
Founded
1839

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