Lead Data Engineer / Architect

Location: San Jose, CA (Onsite)

Name

Required

Experience

Databricks

Yes

>7 years

Lead Data Engineer / Architect AI & Marketing Data Modernization
Experience
8 12 years of experience in data engineering / platform engineering
Proven experience working in marketing, advertising, or growth analytics ecosystems
Strong track record of modernizing legacy systems and scaling data platforms
Core Skills
Data & Engineering
Strong expertise in Spark, Databricks, Delta Lake, distributed data systems
Deep understanding of data modeling for analytics and marketing use cases
Proficiency in Python (PySpark), SQL, and data pipeline frameworks
AI & Modern Engineering
Hands-on exposure to AI/ML in data workflows (predictive analytics, automation, anomaly detection)
Familiarity with GenAI / Agentic AI use cases in engineering productivity
Experience with data observability, governance, and automation tools
Marketing Data Ecosystem
Experience with:
Ad platforms (TikTok, Snap, Google Ads, Meta, etc.)
Event tracking and user behavior data
Attribution models, cohort analysis, campaign performance
Understanding of real-time analytics and experimentation platforms
Architecture & Cloud
Architectures: Lakehouse, streaming pipelines, event-driven systems
Cloud: AWS / Azure / GCP data services
DevOps: CI/CD, Infrastructure-as-Code, Git-based workflows
Skills: Digital : Databricks