Senior Databricks Engineer — Lakehouse Platform Lead

KinderCare Learning Companies

Beaverton (OR)

On-site

USD 140,000 - 190,000

Full time

34 hours ago
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Benefits offered by this job

Child care benefits
Healthcare coverage
Mental health support
Wellness programs
Paid time off

Job summary

KinderCare Learning Companies seeks a Senior Databricks Engineer to own the design, optimization, and governance of a Databricks-based data platform. You will work closely with data engineers and BI teams to deliver scalable pipelines and AI-ready data assets while ensuring SOX-compliant controls and auditable engineering practices.

In this role, you will lead platform improvements, mentor mid-level engineers, and collaborate with security and analytics stakeholders to support enterprise BI and

Qualifications

  • Bachelor’s degree or equivalent experience in CS/related field.
  • 7+ years as a data engineer with 3+ on Databricks production workloads.
  • Strong data governance, data security, and access-control practices.
  • Experience with Agile development, CI/CD automation, and TDD.
  • Databricks certifications preferred.

Responsibilities

  • Design, build, and optimize production-grade ETL/ELT pipelines on medallion architecture.
  • Tune performance and cost across the platform; manage clustering and DBU governance.
  • Model data for BI consumption (Power BI) and downstream analytics.
  • Build and maintain CI/CD pipelines for Databricks assets; follow Agile/TDD.
  • Collaborate with security, compliance, and audit teams for SOX alignment.

Skills

Databricks
Delta Lake
PySpark
SQL
CI/CD
Data governance

Education

Bachelor’s degree in computer science

Tools

Azure
Power BI
Boomi

Job description

KinderCare Learning Companies seeks a Senior Databricks Engineer to own the design, optimization, and governance of a Databricks-based data platform. You will work closely with data engineers and BI teams to deliver scalable pipelines and AI-ready data assets while ensuring SOX-compliant controls and auditable engineering practices.

In this role, you will lead platform improvements, mentor mid-level engineers, and collaborate with security and analytics stakeholders to support enterprise BI and

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