Databricks & Azure Lead Data Engineer

Cushman & Wakefield; United States; Hybrid; USD 157,000 - 185,000; Full time

Job summary

Cushman & Wakefield is seeking a Principal Data Engineer to serve as a senior technical leader, solving complex data challenges and shaping enterprise data architecture within the TDS Technology and Data Solutions team.

The role combines hands-on execution with strategic influence—designing scalable data solutions on Databricks and the Azure ecosystem, establishing engineering standards, and driving best practices.

Qualifications

• Extensive data engineering experience at enterprise scale.
• Proficiency with Databricks and Azure cloud services.
• Ability to mentor engineers and raise engineering standards.
• Experience embedding across teams and geographies.

Responsibilities

• Deliver high-scale data pipelines and platform features on Databricks/Azure.
• Define and evolve engineering standards and reference implementations.
• Mentor engineers, lead design reviews, and promote technical excellence.
• Embed with cross-team projects to accelerate delivery and knowledge transfer.
• Translate business needs into data strategies and align with governance.

Skills

Data engineering leadership

Databricks & Azure expertise

Mentoring engineers

Architectural design

Tools

Databricks

Azure

CI/CD tooling

GitHub Actions

Azure DevOps

Job description

Cushman & Wakefield is seeking a Principal Data Engineer to serve as a senior technical leader, solving complex data challenges and shaping enterprise data architecture within the TDS Technology and Data Solutions team.

The role combines hands-on execution with strategic influence—designing scalable data solutions on Databricks and the Azure ecosystem, establishing engineering standards, and driving best practices.