Hà Nội Trưởng phòng Fulltime5 năm

Application deadline: 10-06-2026

• Focus on data simplification, platform stability, and governance, and own the end-to-end data infrastructure strategy for the organization.

• Create and maintain a data architecture for the OpCo. Work together with Product owners, Business stakeholders, BI/Data analysts & Data scientist.

• Design data structures based on the Enterprise architect’s strategy and Product architect’s requirements.

Your role & responsibilities

Set direction, from an architecture perspective about how products and programs should join up across the OpCo
Develop and maintain the data architecture roadmaps, making sure that they are in line with the global architecture strategy
Lead development of data architecture standards for data collection, maintenance, storage, and organization and align these with the global standards.
Coordinate or lead data governance frameworks and centralized data quality monitoring processes across domains.
Oversee the migration of data from legacy systems to new solutions
Advise Product owners and the OpCo on outside perspectives/innovations related to data architecture
Define & optimize DWH data models
Define & oversee DataOps, DevOps/MLOps and engineering best practices across data team

Your skills & qualifications

Bachelor or Master degree in engineering, systems design, computer sciences, or a related field
5+ years of experience with IT architecture and/or data engineering, analytics engineering.
Minimum 3+ years of experience leading teams.
Strong business acumen, with the ability to translate business needs into data architecture and platform decisions.
Proven experience with enterprise data architecture, data governance frameworks and data quality standards
Experience with delivering thought leadership and crafting high-level strategy on data structure and architecture
Knowledge of data architecture principles
Proven experience with architecture frameworks and concepts (e.g. ETL-management, cloud stacks, etc.)
An understanding of how data is used within business processes and its impact
Analytically and quantitatively strong and highly structured
Ability to explain complex technical processes to business stakeholders
Proven problem solving skills, ability to deal with ambiguity and competing objectives in a fast paced environment.