Data Engineering Architect, Senior
Core
Design, build, and operate scalable data pipelines and a Databricks-based Lakehouse architecture to power analytics, experimentation, and AI/ML use cases.
Role type
Senior Data Engineering Architect (hands-on IC)
Builds
Production-grade datasets, scalable data pipelines, and a modernized Lakehouse platform
Domain
Data Engineering / Cloud Data Platforms / Analytics
Required skills
SQL, Python, PySpark, Databricks, Lakehouse architecture, data modeling, CI/CD, data governance, cloud infrastructure
Preferred skills
Product analytics data experience, legacy platform migration
Technologies
Databricks, Spark, SQL, Python, Cloud
Responsibilities
Design and evolve the Product Analytics Lakehouse architecture; build and maintain production-grade Gold layer datasets; define reusable data engineering patterns and standards; own data quality, monitoring, and incident resolution; migrate and modernize legacy workloads to Databricks; provide technical leadership and mentorship to engineering teams.
Seniority
Senior, hands-on IC with architectural leadership
