Cushman & Wakefield

Director, Data Engineering Delivery

United States full-time Executive $140,250 - $165,000
full-time Executive level Technology & IT Salary listed Curated
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About the role

Job Title
Director, Data Engineering DeliveryJob Description Summary
Reporting to the Global Head of Data Architecture & Engineering, the Director of Data Engineering Delivery will be a member of the Global Data Leadership team and will help shape data engineering strategy, standards, and execution across the organization. The role requires fluency with Databricks and the Azure ecosystem today, and the adaptability to evaluate and adopt additional data technologies as our platform evolves.

The Director of Data Engineering Delivery will be equally comfortable managing the deliverables and pipeline of work for a team of data engineers as they are building data platforms and developing the engineers who build on them. This is a hybrid technical and people leadership role: the successful candidate will lead, mentor, and grow a team of 5–8 data engineers and analysts whilst also contributing hands-on to data engineering deliverables on Databricks and Azure.Job Description

Technical Leadership

Platform ownership: Lead the design, build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and Azure, ensuring our engineering and architectural standards for performance, reliability, and cost are consistently delivered.

Hands-on contribution: Remain an active practitioner by contributing to high-impact pipelines, code reviews, architecture reviews, and complex troubleshooting.

Quality and governance: Champion data quality, observability, security, and governance practices, embedding them into the team’s engineering lifecycle and platform standards.

People Leadership

Team management: Directly manage a team of 5–8 data engineers, owning hiring, onboarding, performance management, compensation recommendations, and retention.

Coaching and development: Provide regular coaching, feedback, and career development planning for each team member, with clear growth paths for both individual contributor and leadership tracks.

Culture and engagement: Foster an inclusive, high-trust team culture grounded in psychological safety, technical curiosity, accountability, and continuous learning.

Project and Work Orchestration

Delivery ownership: Plan, prioritize, and orchestrate the team’s portfolio of data engineering work, ensuring on-time, on-quality delivery aligned with global data and business priorities.

Agile execution: Establish and refine agile delivery practices (intake, estimation, sprint planning, retrospectives) that balance discovery work, platform investment, and run-the-business commitments.

Risk and dependency management: Proactively identify, communicate, and resolve risks, blockers, and cross-team dependencies, escalating clearly and constructively when needed.

Operational excellence: Own production health for the team’s data products, including SLAs, on-call posture, incident response, and post-incident learning.

Stakeholder Management and Cross Team Collaboration

Business partnership: Build trusted relationships with business and technology stakeholders, translating their objectives into clearly scoped, prioritized data 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.

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, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 140,250.00 - $165,000.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email . Please refer to the job title and job location when you contact us.
INCO: “Cushman & Wakefield”Originally posted on Himalayas

Interview prep

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Executive
Technology & IT Content Writing Data Analysis Project Management Sales Executive level full-time

Likely questions

  1. Tell us about work you have done that is close to the Director, Data Engineering Delivery role.
  2. How would you approach your first 30 days at Cushman & Wakefield?
  3. Which of Content Writing, Data Analysis and Project Management have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Content Writing, Data Analysis and Project Management.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Director, Data Engineering Delivery role because I can bring practical experience in Content Writing, Data Analysis and Project Management, learn the team quickly, and contribute to the outcomes Cushman & Wakefield needs from this hire.

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