出海雷达

数据技术领头人

Data Technical Lead

AI开发工程限定地区(需当地身份)
公司HRTx, Inc.
薪资未公开
工作地点Philippines
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间6 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 Philippines 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

数据技术领导在我们不断发展的数据组织中发挥着关键作用,负责解决方案设计,开发和战略实施数据解决方案。候选人将负责推动云计算数据架构的执行,确保平台可扩展性,安全性和性能,同时满足业务和技术要求。这一职位需要具有深入技术专业知识的实践领导者,也可以引导战略举措取得成功。· 与产品所有者合作编写和优先考虑技术用户故事和产品后期记录中的启用器。·与 Scrum Master 和产品所有者合作解决技术障碍并加剧。·参与团队级敏捷仪式,如后备案例改进,冲刺规划,日常站立,反复演示和回顾活动。·为团队成员提供每天的技术和开发指导 (例如设定技术解决方案,支持代码修复,技术发布计划等)·从冲刺后备案中"燃烧"用户故事以实现团队的反复目标。·创建和维护技术文档,如设计文件,技术路线图等。·在组织中的专家需要进行相关工作时,他们就会与该领域的专家接触。· 领导使用 AWS 核心数据服务的解决方案设计,开发和交付,推动数据工程,治理,集成和虚拟化方面的创新。·监督数据系统的所有技术方面,确保从概念验证 (PoC) 到生产部署的端到端交付。·不断提高数据平台交付效率,同时将新的数据技术和方法结合起来,以提高性能,弹性,可扩展性和安全性。·与商业合作伙伴,数据架构师和跨功能团队密切合作,将复杂的业务要求转换为技术解决方案。· 开发和实施数据管理战略,如数据仓库,主数据管理和高级分析解决方案。· 根据需要将技术解决方案与实践工作结合起来,积极贡献于建筑,编码和部署关键数据系统。·通过监测平台性能,识别潜在问题以及采取必要的预防或纠正措施来确保系统健康。· 对该系统的准确性,一致性和整体质量负责。

查看英文原文

Data Tech Lead plays a pivotal role within our evolving Data organization, leading the solution design, development, and strategic implementation of data solutions. The candidate will be responsible for driving execution of cloud-based data architectures, ensuring the platforms scalability, security, and performance while addressing both business and technical requirements. This role demands a hands-on leader with deep technical expertise who can also steer strategic initiatives to success.

  • Collaborate with the Product Owner in the writing and prioritization of technical user stories and enablers in the product backlog.
  • Work with Scrum Master and Product Owner to resolve and escalate technical impediments.
  • Participate in team-level agile ceremonies, like backlog refinement, sprint planning, daily standups, iteration demos and retrospectives.
  • Provide technical and development guidance to team members daily (e.g. set direction on technical solutioning, support code fixes, technical release planning, etc.)
  • 'Burn' user stories from the sprint backlog to deliver on the team's iteration goals
  • Create and maintain technical documentation, such as design documents, technical roadmaps, etc.
  • Engage with subject-matter experts across the organization when they are required for user story development
  • Spearhead the solution design, development, and delivery of data solutions using AWS core data services, driving innovation in Data Engineering, Governance, Integration, and Virtualization.
  • Oversee all technical aspects of data systems, ensuring end-to-end delivery from proof-of-concept (PoC) to production deployment.
  • Continuously enhance the data platform delivery efficiency to improve performance, resiliency, scalability, and security while incorporating new data technologies and methodologies.
  • Work closely with business partners, data architects, and cross-functional teams to translate complex business requirements into technical solutions.
  • Develop and implement data management strategies, like, Data Warehousing, Master Data Management, and Advanced Analytics solutions.
  • Combine technical solutioning with hands-on work as needed, actively contributing to the architecture, coding, and deploying critical data systems.
  • Ensure system health by monitoring platform performance, identifying potential issues, and taking preventive or corrective measures as needed.
  • Be accountable for the accuracy, consistency, and overall quality of the data used in various applications and analytical processes.

Qualification

  • Strong problem-solving skills, with the ability to make data-driven decisions and approach challenges methodically.
  • Proficiency in data solution coding, ensuring access and integration for analytical and decision-making processes.
  • Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situation.
  • Ability to effectively communicate complex technical solutions to both technical and non-technical stakeholders.
  • Experience working with multi-disciplinary teams and aligning data strategies with business objectives.
  • Must have full scale development experienced and able to successfully implemented an enterprise wide Data Warehouse using AWS Cloud Platform, AWS DMS, Glue, Python, PySpark, Reddshift
  • Must have a Bachelor of Science of computer related courses, eg. Information Technology, Computer Science, Management courses with major in computer studies.
  • At least 12 years of strong hands-on experience in developing and delivering Data Solutions, with a strong background in AWS Cloud Platform.
  • Proven experience in designing and implementing AWS data services (such as S3, Redshift, Athena, Glue, Python, PySpark.) and a solid understanding of data service design patterns.
  • Expertise in building large-scale data platforms, including Data Lakehouse, Data Warehouse, Master Data Management, and Advanced Analytics systems.
  • Demonstrated experience managing multiple projects in a high-pressure environment, ensuring timely and high-quality delivery.

Originally posted on Himalayas

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