Senior Expert, Data Architecture (40001658)

Job Purpose

- The job holder drives the discovery, design, and guideline for implementation of a wide variety of data solution architects for big data systems such as data lake, data warehouse, etc.
- The job holder provides strategic decision-making, and guidance within technical disciplines to help solving to complex business problems.
- The job holder performs research and define end-to-end architecture standards and patterns for enabling Data Engineering, Advanced Analytics & Business Intelligence capabilities

Key Accountabilities (1)

Data Architecture

- Deliver functionality required for business and data analysts, data scientists and other business roles to advance the overall analytic performance and strategy of the bank
- Build the best practices and strategies for data infrastructure to fulfill data analytic and utilization needs of the business with emerging latest technologies and capabilities.
- Guide the team or teams in identifying opportunities to manage data and provide solutions for complex data feeds within the bank.
- Evaluate various data architectures in the bank and utilize them to develop data solutions to meet business requirements.
- Drive the delivery of data products and services into systems and business processes in compliance with internal regulatory requirements.
- Oversee the review of internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.

Key Accountabilities (2)

Cross-team impact
- Proactively reach out to business and other partners to provide sharing and organize training on data engineering and data architect
- Define end-to-end data architecture standard and patterns and enforce across the bank

Project 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.

Talent Development
- Mentor and coach junior members from one or more team to enhance their data engineering capabilities.
- Identify and encourage areas for growth and improvement within the team or teams and support with personal development plan.

Key Accountabilities (3)

N/A

Key Relationships - Direct Manager

Director, Data Engineering; Head of Data Engineering

Key Relationships - Direct Reports

N/A

Key Relationships - Internal Stakeholders

TCB Teams from relevant departments in the Bank

Key Relationships - External Stakeholders

Partners and vendors providing professional services

Success Profile - Qualification and Experiences

Qualifications

- Bachelor's or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology
 Work Experience
- 12+ years of relevant experience with designing, developing, and operating data platforms with popular big data technologies (e.g. Hadoop, Spark, Flink, Kafka, Arrow, Tableau), database technologies (e.g. SQL, NoSQL, Graph databases), and programming languages (e.g. Python, R, Scala, Java, Rust, Kotlin)
- English proficiency requirements are pursuant to Techcombank's policy
- Deep experience in designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies, optimized data pipelines and wore the architect hat in the past or worked with one extensively
- Deep experience with monitoring complex system and solving data and systems issues having a consistent and algorithmic approach to resolving them
- Deep understanding of Information Security principles to ensure compliant handling and management of all data
- Proven track-record in working in Agile teams to lead company-wide successful digital transformation initiatives and change management, having mastered and mentored on Agile principles, practices and Scrum methodologies
- Mastery in Data & Analytics and is an industry expert on the latest data-related technology trends
- Having a long history of architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to (tens of) millions of users