Data Platform Engineering Manager - Remote-Eligible

Berkshire Hathaway Homestate Companies; Sacramento (CA); On-site; USD 152,000 - 195,000; Full time

Benefits offered by this job

Work From Home

Parking

Paid Time Off

Paid Holidays

Health Insurance

Retirement Savings Match

Tuition Reimbursement

Job summary

Berkshire Hathaway Homestate Companies is seeking a Data Platform Engineering Manager to lead the enterprise data platform team, overseeing performance, reliability, security, and cost efficiency. The role focuses on 24x7 operations, IaC, GitOps, and modern data stack governance, across SQL, NoSQL, and analytical platforms.

The ideal candidate will drive automation, vendor evaluation, and cross-team collaboration, with 10+ years in data platforms and 5+ years in leadership.

Qualifications

• Bachelor’s degree in Computer Science, MIS, Data Engineering, or related discipline required. Master’s preferred.
• Two or more strong preferred certifications: DP-600, DP-203, DP-300 or equivalents.

Responsibilities

• Directs day-to-day platform operations and 24x7 support.
• Leads Database engineers and on-call rotation; manages risk and cross-team blockers.
• Owns operational data store estate (OLTP, NoSQL) across MS SQL, Cosmos, and equivalents.
• Defines GitOps IaC provisioning and automation; reviews Terraform/Azure DevOps templates.
• Ensures reliability, performance, and cost efficiency of data platforms; enforces security/compliance.

Skills

SQL Server

Azure SQL

Managed Instance

NoSQL

Cosmos DB

Data Engineering

IaC

GitOps

Terraform

PowerShell

Python

Liquibase

Azure DevOps

LLM tooling

Dynatrace

Education

Bachelor's degree

Master’s degree preferred

Tools

ADF

Airflow

SSIS

HVR

Fabric pipelines

Job description

Berkshire Hathaway Homestate Companies is seeking a Data Platform Engineering Manager to lead the enterprise data platform team, overseeing performance, reliability, security, and cost efficiency. The role focuses on 24x7 operations, IaC, GitOps, and modern data stack governance, across SQL, NoSQL, and analytical platforms.

The ideal candidate will drive automation, vendor evaluation, and cross-team collaboration, with 10+ years in data platforms and 5+ years in leadership.