Vp, Data Architecture & Solutions

Dentsu UK

New York, United States
Base: $136,000 - $200,000; bonus/equity: eligible ...
Fully remote
Azure, databricks, python, pyspark stack
Agentic data systems architecture
Enterprise data architecture strategy
Help build the foundational data infrastructure that powers everything Dentsu’s Decisioning practice delivers

Job Summary

  • Help build the foundational data infrastructure that powers everything Dentsu’s Decisioning practice delivers.
  • Own the enterprise data architecture strategy across Azure, Databricks, ADLS, PySpark, and Power BI—defining reference patterns used across client engagements.
  • Benefits available with this position include: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave.

Matching Summary

Help build the foundational data infrastructure that powers everything Dentsu’s Decisioning practice delivers.

Salary

Base: $136,000 - $200,000; Bonus/Equity: eligible for discretionary incentive compensation; Benefits: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave.

Skills & Requirements

Must-have

  • Azure, Databricks, Python, PySpark stack
  • agentic data systems architecture
  • enterprise data architecture strategy
  • data foundation for Genie spaces
  • reusable pipeline patterns
  • cross-agency taxonomy standards
  • data governance and security standards

Nice-to-have

  • media agency experience
  • advertising technology environments
  • scaling proven single-client stack
  • managing offshore engineering teams
  • knowledge of media data sources

Key Requirements

  • 10+ years in data engineering and architecture
  • Deep expertise in Databricks, Apache Spark
  • Strong experience with Azure ecosystem
  • Demonstrated experience building data engineering teams
  • Expert knowledge of PySpark
  • Experience designing multi-tenant data platforms
  • Strong understanding of data governance

Work Rights

Not specified

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