Data Engineering Leader - Azure & Databricks, Hybrid

cw; United States; Hybrid; USD 180,000 - 230,000; Full time

Job summary

Cushman & Wakefield is hiring a Data Engineering Senior Manager to lead a team of 5–8 engineers and analysts. The role blends hands-on data platform work on Databricks and Azure with people leadership to grow the team and align data solutions with global priorities.

The role reports to the Global Head of Data Architecture & Engineering and emphasizes platform reliability, governance, and scalable data products in a hybrid/remote setting depending on location.

Qualifications

• Significant data engineering experience with Databricks and Azure.
• Experience leading and growing a team of data engineers and analysts.
• Proven ability to deliver production-grade data platforms at scale.

Responsibilities

• Platform ownership: design, build, and improve scalable data pipelines and Lakehouse architectures on Databricks and Azure.
• Hands-on contributor: code reviews, architecture reviews, and troubleshooting.
• Quality and governance: champion data quality, observability, security, and governance.

Skills

Databricks

Azure

Data engineering

People management

Leadership

Agile practices

Communication

Tools

Databricks

Azure

Delta Lake

Unity Catalog

Job description

Cushman & Wakefield is hiring a Data Engineering Senior Manager to lead a team of 5–8 engineers and analysts. The role blends hands-on data platform work on Databricks and Azure with people leadership to grow the team and align data solutions with global priorities.

The role reports to the Global Head of Data Architecture & Engineering and emphasizes platform reliability, governance, and scalable data products in a hybrid/remote setting depending on location.