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Senior Manager, Data Engineering
Cushman & WakefieldSenior Manager of Data Engineering at Cushman & Wakefield overseeing data platforms and leading a team of engineers. Hands-on technical leadership while shaping engineering strategy and execution.
Tech Stack
Tools & technologiesSpark
About the role
Key responsibilities & impact- Lead the design and continuous improvement of scalable data pipelines
- Contribute to high-impact pipelines and complex troubleshooting
- Champion data quality, security, and governance practices
- Manage a team of data engineers including hiring and performance management
- Plan and prioritize the team’s data engineering work
- Build relationships with business and technology stakeholders
Requirements
What you’ll need- Significant data engineering experience
- Hands-on delivery on Databricks (Spark, Lakeflow, DLT, etc.)
- Experience managing data engineers
- Track record of delivering production-grade data platforms
- Strong communication and stakeholder management skills
- Familiarity with modern data architecture patterns
Benefits
Comp & perks- Health insurance
- Vision insurance
- Dental insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life insurance
- Disability insurance
- Paid time off
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringDatabricksSparkLakeflowDLTdata pipelinesdata qualitydata securitydata governanceproduction-grade data platforms
Soft Skills
communicationstakeholder managementteam managementperformance managementrelationship buildingplanningprioritization