Principal Data Engineer — Databricks & Azure Architect

cw

United States

Hybrid

USD 180,000 - 240,000

Full time

4 days ago
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Job summary

Cushman & Wakefield is seeking a Principal Data Engineer to lead enterprise-scale data architecture, focusing on Databricks and the Azure ecosystem, and to mentor engineers within the TDS Technology and Data Solutions team.

The role embeds across teams to accelerate delivery, shape data strategies, and ensure scalable, secure data solutions that meet business needs. Reporting to the Global Head of Data Architecture & Engineering.

Qualifications

  • Leadership experience overseeing senior engineers
  • Ability to mentor across levels and drive technical excellence
  • Strong communication with stakeholders and architecture teams

Responsibilities

  • Lead technically demanding data engineering work on high-scale pipelines and platforms on Databricks and Azure
  • Define and evolve engineering and architectural standards and reference implementations
  • Embed with multiple Data Engineering teams to accelerate delivery and unblock projects
  • Mentor engineers and lead knowledge sharing through talks and deep dives
  • Design end-to-end data architectures (ingestion, storage, transformation, serving, governance) using Lakehouse patterns
  • Ensure production readiness of critical components and align designs with enterprise security and governance standards
  • Identify risks and drive resolution with clear recommendations
  • Collaborate with Architecture function to ensure alignment with total cost of ownership and scalability
  • Lead cross-team engagements to transfer knowledge back to host teams
  • Promote technical excellence and best practices across the Data Organization

Skills

Leadership
Mentoring
Architectural design
Databricks expertise
Azure cloud

Tools

Databricks
Azure

Job description

Cushman & Wakefield is seeking a Principal Data Engineer to lead enterprise-scale data architecture, focusing on Databricks and the Azure ecosystem, and to mentor engineers within the TDS Technology and Data Solutions team.

The role embeds across teams to accelerate delivery, shape data strategies, and ensure scalable, secure data solutions that meet business needs. Reporting to the Global Head of Data Architecture & Engineering.

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