Vp, Data Architecture & Solutions

Dentsu UK

New York, USA
Base: $136,000 - $200,000; bonus/equity: discretio...
Fully remote
Azure, databricks, python, pyspark stack
Agentic data systems architecture
Ai orchestration tools
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.
  • Recruit and develop platform engineers who build for reuse and think in systems.

Matching Summary

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

Salary

Base: $136,000 - $200,000; Bonus/Equity: 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
  • AI orchestration tools
  • Enterprise data architecture strategy
  • Cloud infrastructure cost management
  • Data governance and security standards

Nice-to-have

  • Media agency experience
  • Advertising technology environments
  • Scaling multi-client platforms
  • Managing offshore engineering teams
  • Media data sources knowledge

Key Requirements

  • 10+ years of experience in data engineering and architecture
  • Deep expertise in Databricks, Apache Spark, and modern lakehouse architecture
  • Strong experience with the Azure ecosystem
  • Demonstrated experience building and leading data engineering teams
  • Expert knowledge of PySpark, data modeling, and enterprise-scale transformation frameworks
  • Experience designing multi-tenant data platforms
  • Strong understanding of data governance, data quality frameworks, and taxonomy management
  • Ability to communicate clearly with both technical and non-technical stakeholders

Work Rights

Not specified

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