Senior Data Architect

3 Dec 2024**Senior Data Architect (40000054)**:

- Category: Data And Analytics Division- Job Type:
- Facility: Data & Analytics**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 và Business Intelligence capabilities and strategies for information delivery and data exploration to support business function needs and goals.

**Key Accountabilities (1)**:

- Data Architect
- 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.

**Key Accountabilities (2)**:

- Projects Management
- 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.

**Key Accountabilities (3)**:

- Talent Development
- 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 personal development plan.

**Key Relationships - Direct Manager**:
Senior Manager, Data Architecture

**Key Relationships - Direct Reports**:
**Key Relationships - Internal Stakeholders**:
Business Tribe, Enabling Tribe (IT or Data - Engineer/Governance), division heads, divisions managers

**Key Relationships - External Stakeholders**:
Partners and vendors providing professional services

**Success Profile - Qualification and Experiences**:

- Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Machine Learning, Statistic, Data Science or other related technical disciplines

Work Experience
- 10+ 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 3+ 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