Data Architect

Mô tả Công việc

Job Purpose
The job holder drives the discovery, design, and execution of a wide variety of analytical technology solutions
- The job holder provides strategic decision-making, and guidance within technical disciplines, responding to disruptive analytical technologies and solving unique and complex problems
- The job holder researches, architects, and defines Data Engineering, Advanced Analytics and Business Intelligence capabilities and strategies for information delivery and data exploration to support business function needs and goals
Job 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 the analytics community
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analyses to improve practices for maximum productivity
- Mentor and coach junior members in team to enhance their data capability
- Identify and encourage areas for growth and improvement within the team and support with a personal development plan.