Senior Databricks Engineer - Lakehouse Lead (Remote)

KinderCare; Beaverton (OR); À distance; USD 140 000 - 180 000; Plein temps

Avantages offerts par ce poste

Discounted child care

Medical, dental, and vision benefits

Employee assistance programs

Health and wellness programs

Paid time off

Discounts on work essentials

Résumé du poste

KinderCare Learning Companies is seeking a Senior Databricks Engineer to own the design, optimization, and governance of a medallion lakehouse platform. You’ll work with Delta Lake, Unity Catalog, and Databricks workflows to support enterprise BI and AI/ML products.

Collaboration with security, analytics, and product teams is essential. The role emphasizes data governance, auditable engineering, and SOX controls within a governed environment, with a focus on scalable data pipelines and platform

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, statistics, or related field or equivalent work experience.
• 1.

Responsabilités

• Design, build, and optimize production‑grade ETL/ELT pipelines across the medallion architecture using Delta Lake, Delta Live Tables / Lakeflow Declarative Pipelines, and Databricks Workflows.

Connaissances

Databricks Lakehouse

Delta Lake

Unity Catalog

PySpark

SQL

CI/CD automation

Cloud platforms

Data governance

Boomi integration

Power BI integration

Formation

Bachelor’s degree in computer science or related field

Outils

Databricks Asset Bundles

Repos

Git-based deployment

Azure/Cloud data services

Bo"omi" integration

Description du poste

KinderCare Learning Companies is seeking a Senior Databricks Engineer to own the design, optimization, and governance of a medallion lakehouse platform. You’ll work with Delta Lake, Unity Catalog, and Databricks workflows to support enterprise BI and AI/ML products.

Collaboration with security, analytics, and product teams is essential. The role emphasizes data governance, auditable engineering, and SOX controls within a governed environment, with a focus on scalable data pipelines and platform