Data Technical Lead
# Data Technical Lead **HRTx, Inc.** · Philippines · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Technical-Lead]` `[Data-Solutions-Architect]` `[Cloud-Data-Engineer]` `[Data-Tech-Lead]` `[Tech-Lead-Data-Engineering]` `[Data-and-AI-Technical-Lead]` `[Lead-Data-Engineer]` `[Data-Engineering-Lead]` `[Lead-Data-Engineering]` `[Data-Team-Lead]` --- ### About the Role 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
- Data-Engineer
- Technical-Lead
- Data-Solutions-Architect
- Cloud-Data-Engineer
- Data-Tech-Lead
- Tech-Lead-Data-Engineering
- Data-and-AI-Technical-Lead
- Lead-Data-Engineer
- Data-Engineering-Lead
- Lead-Data-Engineering
- Data-Team-Lead
Наблюдалась 2026-10-10, впервые 2026-10-10, источник — Himalayas (JSON API).