Senior Data Architect (40000054)

## 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