数据工程交付总监
Director, Data Engineering Delivery
职位名称
数据工程交付总监 职位描述摘要
向全球数据架构与工程负责人汇报，数据工程交付总监将成为全球数据领导团队的一员，并帮助塑造组织内的数据工程战略、标准和执行。该职位需要熟练掌握Databricks和Azure生态系统，同时具备评估和采用其他数据技术的适应能力，以应对平台的持续演进。
数据工程交付总监将同样擅长管理数据工程师团队的交付成果和工作流程，同时也能够构建数据平台并培养构建这些平台的工程师。这是一个结合技术与人员领导的角色：成功的候选人将领导、指导并发展一个由5-8名数据工程师和分析师组成的团队，同时在Databricks和Azure上积极参与数据工程交付工作。
职位描述
技术领导力
- 平台负责：领导设计、构建和持续改进基于Databricks和Azure的可扩展数据流水线、Lakehouse架构和数据产品，确保我们的工程和架构标准在性能、可靠性和成本方面得到一致实现。
- 实战贡献：保持实践者的角色，参与高影响力流水线、代码审查、架构审查和复杂问题排查。
- 质量与治理：倡导数据质量、可观测性、安全性和治理实践，将其嵌入团队的工程生命周期和平台标准中。
人员领导力
- 团队管理：直接管理一个由5-8名数据工程师组成的团队，负责招聘、入职、绩效管理、薪酬建议和留任。
- 培训与发展：为每位团队成员提供定期的指导、反馈和职业发展计划，明确个人贡献者和领导力路径的成长方向。
- 文化与参与：营造一个包容、信任的团队文化，以心理安全感、技术好奇心、责任感和持续学习为基础。
项目与工作协调
- 交付责任：规划、优先排序并协调团队的数据工程工作组合，确保按时、按质交付，符合全球数据和业务目标。
- 敏捷执行：建立并优化敏捷交付实践（需求收集、估算、冲刺）
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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