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Director, Data Engineering Delivery
Cushman & Wakefield. Shape data engineering strategy, standards, and execution across the organization .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in shaping data engineering strategies and leading teams to build scalable data pipelines and Lakehouse architectures on Databricks and Azure. Proficient in managing team performance, fostering a collaborative culture, and ensuring data quality and governance.
Highest-signal resume keywords
DatabricksAzure EcosystemData Pipeline DevelopmentTeam LeadershipAgile Delivery Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Engineering StrategyScalable Data PipelinesLakehouse ArchitecturesCode ReviewsComplex TroubleshootingData Quality PracticesObservabilitySecurity GovernancePerformance ManagementIncident Response
Soft Skills
Team MentoringCoachingFeedback ProvisionRelationship BuildingCommunication
Industry Keywords
Data GovernanceData ProductsPerformance StandardsRisk ManagementCross-Team Dependencies
Tech Stack
Tools & technologiesAzure
About the role
Key responsibilities & impact- Shape data engineering strategy, standards, and execution across the organization
- Lead the design, build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and Azure
- Contribute hands-on to high-impact pipelines, code reviews, architecture reviews, and complex troubleshooting
- Champion data quality, observability, security, and governance practices
- Directly manage a team of 5–8 data engineers and analysts
- Own hiring, onboarding, performance management, compensation recommendations, and retention
- Provide coaching, feedback, and career development planning
- Foster an inclusive, high-trust team culture
- Plan, prioritize, and orchestrate the team’s data engineering portfolio
- Establish and refine agile delivery practices
- Identify, communicate, and resolve risks, blockers, and cross-team dependencies
- Own production health, including SLAs, on-call posture, incident response, and post-incident learning
- Build relationships with business and technology stakeholders and translate objectives into prioritized data engineering outcomes
- Collaborate with the Global Data Leadership team across architecture, data engineering, AI, governance, and product
- Communicate technical concepts, trade-offs, roadmaps, and progress to engineers and senior executives
Requirements
What you’ll need- Fluency with Databricks and the Azure ecosystem
- Adaptability to evaluate and adopt additional data technologies as the platform evolves
- Experience managing deliverables and work pipelines for a team of data engineers
- Experience building data platforms and developing data engineers
- Ability to lead, mentor, and grow a team of 5–8 data engineers and analysts
- Hands-on experience contributing to data engineering deliverables on Databricks and Azure
- Experience with scalable data pipelines, Lakehouse architectures, and data products
- Knowledge of engineering and architectural standards for performance, reliability, and cost
- Experience with code reviews, architecture reviews, and complex troubleshooting
- Knowledge of data quality, observability, security, and governance practices
- Experience with hiring, onboarding, performance management, compensation recommendations, and retention
- Experience providing coaching, feedback, and career development planning
- Experience planning and orchestrating a portfolio of data engineering work
- Knowledge of agile delivery practices, including intake, estimation, sprint planning, and retrospectives
- Experience with risk, blocker, dependency, SLA, on-call, incident response, and post-incident management
- Ability to build relationships with business and technology stakeholders
- Ability to communicate technical concepts, trade-offs, roadmaps, and progress to engineers and senior executives
Benefits
Comp & perks- Health insurance
- Vision insurance
- Dental insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life insurance
- Disability insurance programs
- Paid and unpaid time away from work
- Competitive pay