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Data Architect

Work Location Ha Noi
Job Level Team Leader / Supervisor
Job Type Permanent
Qualification Bachelor
Experiences 3 - 5 Years
Salary Negotiable
Industry IT - Software, Banking
Deadline to Apply 31/05/2026
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Hướng dẫn ứng tuyển

Bước 1: Điền vào Mẫu thông tin ứng viên SHB Finance , tải mẫu tại đây,
Bước 2: Chọn nút "Nộp Đơn" bên trên để ứng tuyển.
Bước 3: Sau khi hoàn tất bước nộp đơn, check email của Bạn được gửi từ Tuyển dụng SHB Finance – Thư xác nhận ứng tuyển thành công để nắm thông tin và hướng dẫn tuyển dụng tại SHB Finance.

Chúc Bạn Sức khỏe và Thành công.

Job Benefit

  • Travel opportunities
  • Allowances
  • Incentive bonus
  • Health checkup
  • Training & Development
  • Salary review
  • Annual Leave

Job Description

OBJECTIVES: Responsible for designing, creating, and managing an organization’s data architecture. Developing database solutions to store and retrieve information securely and efficiently, ensuring data integrity, availability, and accessibility. Convert business requirements into specifications, implement data governance activities, and optimize database performance to support the organization's data-driven initiatives.

MAIN MISSION AND RESPONSIBILITIES:

  • Design and Development: Design and implement scalable, high-performance data architectures; Develop data models, schemas, and data dictionaries; Define and maintain data architecture standards and principles; Ensure data integrity, security, and privacy in all data architecture activities.
  • Data Integration: Oversee data integration processes, including ETL operations; Work with data engineers to integrate data from various sources into the Data Warehouse and Data Lake; Ensure seamless data flow across different systems and applications. 
  • Data Governance: Establish and enforce data governance policies and procedures; Ensure compliance with data regulations and standards (e.g., GDPR, CCPA, VN Degree 13, SBV Circle 09, …etc); Implement data quality and data lineage processes. 
  • Collaboration: Collaborate with business stakeholders to understand data requirements and translate them into technical solutions; Work closely with IT and development teams to implement data solutions; Provide guidance and mentorship to data engineers and other team members. 
  • Performance Optimization: Monitor and optimize the performance of data systems; Identify and resolve data-related issues and bottlenecks; Implement best practices for data management and optimization. 
  • And other tasks assigned by direct supervisors and  Managers of Technology Division.

REASONS TO JOIN SHBFINANCE:

  • Professional and open working environment;
  • Working hours from Monday to Friday, 1.5-hour lunch break (40 hours/week);
  • Hybrid working system with 1-2 remote working days/week;
  • Friendly and open colleagues with a mindset that values ​​individual development;
  • Spacious, open office with full equipment to support work;

Special attention to employees:

  • Competitive benefits package with regular salary increases. Average total income of 14 months' salary/year;
  • Lunch allowance up to VND 1,200,000/month;
  • Paid leave on birthday + birthday gift;
  • Exclusive health care benefits with comprehensive SHBFC Care insurance;
  • Annual health check-ups at leading hospitals in Vietnam;
  • Annual company trips and team-building activities.
  • Focus on supporting personal development:
  • Career guidance, mentorship, and support from talented and experienced managers;
  • Opportunities to participate in large projects, international partnerships, and leading the consumer finance sector;
  • Policies supporting learning activities, improving foreign language skills, exchanging knowledge, and cultural exchange (Training, Seminars, etc.).

Job Requirement

  • Bachelor’s degree in Computer Science, Information Technology, or a related field. A Master’s degree is a plus.
  • At least 01 years of experience as a Data Architect or similar role.
  • Good at Engish.
  • Preferably in the insurance, banking, or consumer finance industry. Having knowledge about finance industry, familiar various business domains of CRM, finance and accounting, loan origination & management, …etc is plus.
  • Proficiency in designing data models (conceptual, logical, and physical) that meet business requirements and ensure data integrity.
  • Deep understanding of various database management systems such as relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Experience in integrating data from disparate sources and systems to create unified data repositories. ETL: Skill in designing and implementing ETL processes to transform raw data into meaningful insights.
  • Familiarity with big data platforms and technologies such as Hadoop, Spark, and Hive for processing and analyzing large datasets. Knowledge of data warehousing concepts and technologies (e.g., Amazon Redshift, Google BigQuery) for storing and querying structured data.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and services for deploying and managing data architectures in the cloud. Scalability and Elasticity: Ability to design scalable and elastic data solutions to handle varying workloads and demands.
  • Proficiency in programming languages such as SQL, Python, Java, or Scala for data manipulation, scripting, and automation. Scripting: Skill in scripting languages (e.g., Shell scripting) for automating routine tasks and processes.
  • Soft Skills: Ability to analyze and quantify; Ability Strategic thinking; Ability to solve problems; Commucication skills; Management skills

 

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