Senior Manager, Data Engineering

engineering outcomes.Global team collaboration: Partner closely with peers across the Global Data Leadership team - architecture, data engineering, AI, governance, and product - to deliver cohesive, end-to-end data solutions.Communication and storytelling: Communicate technical concepts, trade-offs, roadmaps, and progress effectively to audiences ranging from engineers to senior executives. Essential Skills, Knowledge & Experience: < >Significant data engineering experience, including hands-on delivery on Databricks (Spark, Lakeflow, Spark Declarative Pipelines (DLT), Delta Lake, Lakebase/Postgres, Unity Catalog, etc.) and the Azure data ecosystem.Demonstratable experience formally managing data engineers, including hiring, performance management, and career development.Track record of delivering production-grade data platforms and pipelines at scale with strong attention to reliability, security, and cost.Demonstratable, ability to lead complex technical work through influence, not

authority, Excellent communication, stakeholder management, and prioritization skills in a global, matrixed environment, with a client-service mindsetFamiliarity with modern data architecture patterns (Lakehouse, Unity Catalog, medallion, data mesh), DataOps practices, and metadata-driven and configuration-driven pipeline frameworks. Desirable Skills, Knowledge & Experience: < >Experience leading teams through technology transitions and adopting new data tooling beyond an established core stack.Familiarity with CI/CD and infrastructure-as-code tooling for data pipelines using Azure DevOps, Databricks Automation Bundles (DABS), GitHub Actions, or equivalentExperience leading cross-team initiatives and working across multiple geographies and time zones as part of a global data organization. This job description is intended to outline the primary responsibilities and requirements of the role. It is not exhaustive and may be subject to change in line with organisational

needs. We foster a culture of inclusion that embraces the unique strengths, perspectives, and experiences of all our employees. We firmly believe that our diversity enhances our team’s capabilities, leading to improved decision-making, innovation, and business outcomes. If you have any reservations about applying, please don’t hesitate to reach out to your local recruiter for additional information Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type

Job Title Senior Manager, Data Engineering Job Description Summary Job Description Job Title: Data Engineering Senior Manager Position: Data Engineering Senior Manager Department: TDS Technology and Data Solutions Reports To: Global Head of Data Architecture & Engineering Location: Hybrid/Remote depending on location, Working time zone: US/EMEA Cushman & Wakefield (NYSE: CWK) is a leading global commercial real estate services firm for property owners and occupiers with approximately 52,000 employees in nearly 400 offices and 60 countries. In 2023, the firm reported revenue of $9.5 billion across its core services of property, facilities and project management, leasing, capital markets, and valuation and other services. It also receives numerous industry and business accolades for its award-winning culture and commitment to Diversity, Equity and Inclusion (DEI), sustainability and more. For additional information, visit www.cushmanwakefield.com. Career Level: M6 Role Summary: We are