Director, Staff Data Engineer

Dentsu Aegis Network

New York, United States
$113,000 - $160,000; not specified; medical, visio...
Fully remote
Databricks, pyspark, azure cloud infrastructure
Lakehouse architecture, data transformation pipelines
Data governance frameworks, unity catalog policies
The Director, Staff Data Engineer will serve as the senior hands-on engineer within the Data Architecture & Solutions pillar, translating architecture strategy into scalable infrastructure

Job Summary

  • The Director, Staff Data Engineer will serve as the senior hands-on engineer within the Data Architecture & Solutions pillar, translating architecture strategy into scalable infrastructure.
  • Key responsibilities include architecting and building complex components of the enterprise data platform, leading the development of multi-client Databricks environments, and driving adoption of engineering standards.
  • Benefits include medical, vision, and dental insurance, life insurance, disability insurance, 401k, flexible paid time off, paid holidays, sick leave, and parental leave.

Matching Summary

The Director, Staff Data Engineer will serve as the senior hands-on engineer within the Data Architecture & Solutions pillar, translating architecture strategy into scalable infrastructure.

Salary

$113,000 - $160,000; Not specified; Medical, vision, dental, life, disability, 401k, PTO, holidays, sick leave, parental leave

Skills & Requirements

Must-have

  • Databricks, PySpark, Azure cloud infrastructure
  • Lakehouse architecture, data transformation pipelines
  • Data governance frameworks, Unity Catalog policies
  • Serverless compute, multi-client Databricks environments
  • Azure DevOps, Azure networking

Nice-to-have

  • Media, advertising, marketing technology background
  • Enterprise data mesh patterns
  • Power BI management at scale
  • Mentoring offshore engineering teams

Key Requirements

  • 8+ years data engineering experience
  • 2+ years technical leadership/staff role
  • Expert Databricks experience
  • Strong Azure cloud infrastructure experience
  • Advanced PySpark and Lakeflow skills
  • Strong data architecture knowledge
  • Experience defining engineering standards
  • Experience with data governance and security

Work Rights

Not specified

Tailored Resume

Cover Letter