数据工程师负责人
Lead Data Engineer
关于 Nexcess
Nexcess 为那些需要性能与合规性并存的组织提供专业的云解决方案。我们为全球的客户提供服务，从为客户提供扩展网站的机构到运行关键任务操作的企业。我们凭借深厚的技术专长和与每一位客户的真诚合作建立了良好的声誉。我们所管理的每一个环境背后，都有一支认真对待技术、在关键时刻始终如一的团队。
职位概述
数据工程师主管负责领导数据工程团队，并为支持组织内报告、分析和数据产品的数据基础设施、管道和系统提供技术方向。该职位结合人员领导力、技术专长和业务合作，确保数据解决方案可靠、可扩展，并与组织目标保持一致。
数据工程师主管在技术上保持亲自动手的同时，指导团队的工作，并与财务、数据与分析以及其他业务领导者合作，将业务需求转化为实际的数据解决方案。
职责
团队领导与交付
- 领导、指导和培养数据工程团队，明确对绩效、质量和责任的期望。
- 在符合更广泛的业务目标的前提下，管理团队优先级、工作量和交付。
- 为工程工作提供技术指导和监督，包括架构、设计和生产就绪性。
- 成为复杂技术、数据质量和交付挑战的升级处理点。
数据工程与架构
- 设计、构建和维护可扩展的数据管道、集成、仓库和支持基础设施。
- 建立并维护数据架构、建模、可靠性、性能和可维护性的工程标准。
- 亲自参与开发和解决复杂或业务关键的技术问题。
- 推动自动化、工具、监控和工程实践的改进，以增强数据环境。
策略与业务合作
- 在符合组织目标的前提下，建立数据工程的技术方向和优先级。
- 与财务和其他业务和技术相关方合作，将数据需求转化为有效的解决方案。
- 评估能够提升组织使用和扩展数据能力的技术、流程和架构方法。
- 沟通
查看英文原文
About Nexcess
Nexcess provides specialty cloud solutions for organizations where performance and compliance have to coexist. We serve businesses worldwide, from agencies scaling client sites to enterprises running mission-critical operations. We've built our reputation on deep technical expertise and genuine partnership with every client we work with. Behind every environment we manage is a team of people who take the craft seriously and keep showing up when it matters.
Overview
The Lead, Data Engineer leads the Data Engineering team and provides technical direction for the data infrastructure, pipelines, and systems that support reporting, analytics, and data products across the organization. This role combines people leadership, technical expertise, and business partnership to ensure data solutions are reliable, scalable, and aligned with organizational priorities.
The Lead, Data Engineer remains hands-on technically while guiding the work of the team and partnering with Finance, Data & Analytics, and other business leaders to translate business needs into practical data solutions.
Responsibilities
Team Leadership & Delivery
- Lead, mentor, and develop the Data Engineering team, establishing clear expectations for performance, quality, and ownership.
- Manage team priorities, workload, and delivery in alignment with broader business objectives.
- Provide technical guidance and oversight for engineering work, including architecture, design, and production readiness.
- Serve as an escalation point for complex technical, data quality, and delivery challenges.
Data Engineering & Architecture
- Design, build, and maintain scalable data pipelines, integrations, warehouses, and supporting infrastructure.
- Establish and maintain engineering standards for data architecture, modeling, reliability, performance, and maintainability.
- Remain hands-on in development and resolution of complex or business-critical technical issues.
- Drive improvements to automation, tooling, monitoring, and engineering practices that strengthen the data environment.
Strategy & Business Partnership
- Establish technical direction and priorities for Data Engineering in alignment with organizational objectives.
- Partner with Finance and other business and technical stakeholders to translate data needs into effective solutions.
- Evaluate technologies, processes, and architectural approaches that improve the organization's ability to use and scale data.
- Communicate technical strategy, risks, recommendations, and infrastructure needs to technical and business leadership.
Additional Expectations
- Demonstrates and promotes the company's Impact Behaviors in all interactions and decision-making.
- Design
- Ownership
- First Team
- Performance
- Maintains a professional, collaborative, and client-focused approach while supporting team and organizational objectives.
- Performs other duties, responsibilities, and special projects as assigned to meet business needs.
Qualifications
Required
- 7+ years of related data engineering experience, including 2+ years leading, supervising, or providing technical direction to others.
- Bachelor's degree in Computer Science, Data Engineering, a related discipline, equivalent technical training, or equivalent professional experience.
- Strong experience designing, building, and maintaining data pipelines, ETL/ELT processes, data warehouses, and related infrastructure.
- Advanced SQL skills and strong programming experience with Python, Java, Scala, or a comparable language.
- Strong understanding of data architecture, modeling, scalability, performance, reliability, and data quality practices.
- Experience with modern cloud data platforms, orchestration frameworks, and data processing technologies.
- Demonstrated ability to remain hands-on technically while leading and developing a team.
- Strong business acumen with the ability to translate business requirements into practical technical solutions.
- Strong communication and stakeholder management skills across technical and non-technical audiences.
Preferred
- Experience with AWS, Azure, or Google Cloud Platform.
- Experience with orchestration and transformation tools such as Airflow, dbt, or similar technologies.
- Experience with distributed or streaming data technologies such as Kafka or Spark.
- Experience with infrastructure-as-code and CI/CD practices for data environments.
- Experience building, scaling, or maturing a Data Engineering function.
Key Performance Indicators
- Reliability and availability of critical data pipelines and infrastructure.
- Timeliness and quality of Data Engineering deliverables.
- Data quality and reduction of recurring production issues.
- Progress against Data Engineering roadmap and priorities.
- Team performance, development, and delivery effectiveness.
- Effectiveness of data solutions in supporting business and stakeholder needs.
Work Environment
The physical demands described here are representative of those that must be met by an individual to successfully perform the essential duties of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.
- While performing the essential duties of this job, the individual is regularly required to speak and hear
- While performing the essential duties of this job, the individual is regularly required to use hands for keyboarding, gross manipulation, and fine manipulation
- Works at a desk and computer screen for extended periods of time
- Works in a traditional climate controlled office environment or from home
- Works in a highly stressful environment dealing with a wide variety of challenges, deadlines and diverse employee population
Disclaimer
This job description is only a summary of the typical functions of the position. It is not intended to be an exhaustive or comprehensive list of all job responsibilities, tasks, or duties. Additional duties and tasks may be assigned as part of the job function. Liquid Web Inc. reserves the right to modify, interpret, or apply this job description in a way that best supports the organizational needs. The job description in no way creates or implies an employment contract. The employment contract remains “at will”.
Equal Employment Opportunity Policy: Liquid Web is committed to offering equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.
Originally posted on Himalayas