Data Architect

Địa điểm Việt Nam
Ngành nghề Dịch vụ tài chính - Ngân hàng, Bảo hiểm
Mã số 15763
Loại công việc Cố định
Lương Negotiable
Email liên hệ my.pham@manpower.com.vn
Điện thoại liên hệ 0336 925 689
Ngày đăng Tháng ba 25, 2024
Data Architect 

Responsibilities:
  • Delivers a modern architecture capable of advancing the overall analytic performance and data-driven strategy of the bank
  • Design end-to-end data streams, storage, data serving systems and analytical workflows, including overall architecture, capabilities, platforms, tools and governing processes.
  • Create, maintain, and communicate positioning/go-forward strategies for the data platform and analytical capabilities/tools.
  • Share governance responsibility to ensure alignment to enterprise guidelines for security, auditing, data governance, metadata management, etc.
  • Help define/improve best practices, guidelines and integration with other enterprise solutions.
  • Review analytic solutions for re-usability, scalability, synergy opportunities and alignment to defined best practices and guidelines.
  • Create and evolve big-data and analytic technology roadmap, to align with continuously evolving business needs.
  • Monitor technology trends and perform discovery of any new tools/capabilities of interest.
  • Benchmark big-data and analytic capabilities with industry analysts and other companies.
  • Own strategic technology relationships with technology vendors and external communities/partners.
  • Lead education and training for analytics community.

Requirements:
  • 7+ years of relevant experience in demonstrating a high degree of proficiency in designing and developing complex, high-quality big-data platforms serving analytical solutions, including 1+ years in a Big-Data Architecture role designing technology architectures, detailed workflows, best practices and governance guidelines.
  • English proficiency requirements are pursuant to Techcombank's policy
  • Proven track record of delivering scalable, resource intensive, integrated and operational big-data and analytical solution; experience creating point of views, roadmaps, and process diagrams
  • Hands-on experience working with open-source big-data/data-lake like Hadoop, Spark, Kafka, SQL/NoSQL K-V/Columnar/Graph, ESB and analytical technologies like R/Python, - TensorFlow and/or BI tools like Tableau/Power BI; Cloud analytics platform experience preferred
  • Experience working in Agile teams in digital transformation projects
  • Experience in Agile Software Development and having a strong understanding of Agile principles, practices and Scrum methodologies