Senior Data Architect

Công ty An ninh mạng Viettel- Chi nhánh Tập đoàn Công nghiệp- Viễn thông quân đội

Thỏa thuận
16/10/2026
Toàn thời gian
Overview
Viettel Cyber Security (VCS) is a leading cyber security firm, dedicated to protecting digital infrastructures worldwide while conducting in depth research and analysis for security solutions. Leveraging 100% in house development, VCS offers a comprehensive range of cutting-edge cyber security solutions, protecting governments, financial institutions, large corporations and SMEs against sophisticated cyber threats in the digital age.
VCS is internationally recognized for its Champion titles at Pwn2Own 2023 & 2024, consistent Top 5 global rankings, the discovery of400+ zero-day vulnerabilities, and multiple prestigious honors, including Gold - Best Cyber Security Company in Asia.
Position Objective:
  • Responsible for designing the overall architecture, establishing standards, and defining the development roadmap for centralized data platforms dedicated to cybersecurity monitoring, threat detection, and incident response; early threat analysis and warning; data exploitation, and AI/LLM training.
  • Act as the architectural focal point for shared Datalake/Big Data, Lakehouse/Data Platform, data platforms for AI/LLM, and data integration systems. These systems support centralized cybersecurity monitoring, anomaly detection, incident investigation and response, endpoint protection, network monitoring, early threat warnings, and related business needs.
Responsibilities
Data Architecture & Modeling Management
  • Own and take accountability for the data models currently deployed across the organization.
  • Review and approve data models prior to implementation.
  • Research and propose advanced data modeling design methodologies for the organization.
  • Establish standard operating procedures (SOPs) and step-by-step guidelines for data modeling.
Architecture Optimization & Consulting
  • Proactively identify existing issues and limitations within current data models and propose robust solutions.
  • Evaluate existing data models and define long-term architectural design directions.
  • Collaborate with Big Data Technologies Engineers to consult on optimal technologies for building and maintaining data models.
  • Partner with business units to capture requirements and provide expert consulting on Data Warehouse (DWH) and Data Lake architecture.
Advanced Research & Strategic Advisory
  • Research and develop cutting-edge data models that surpass industry benchmarks, establishing proprietary technological know-how and competitive advantages.
  • Stay abreast of global technology trends in Big Data and their cross-industry applications.
  • Provide strategic advisory to C-level leadership upon request, aligning the unit's data roadmap with global standards and trends.
  • Proactively audit architecture and data models to identify bottlenecks and implement effective resolutions.
  • Mentor and train Associate, Experienced, and Senior team members on new knowledge and methodologies.
Qualifications
  • 7+ years of hands-on experience in practical data modeling projects for Data Lake and Data Warehouse systems, with at least 3 projects acting as a Design/Modeling Lead (demonstrating proven methodologies and strategic impact).
  • Deep expertise in data warehouse design and organization frameworks (e.g., Snowflake schema, Star schema).
  • Mastery of data modeling approaches following Kimball and Inmon methodologies.
  • Strong knowledge of data processing stream design and pipeline organization (Batch processing, Stream processing, etc.).
  • Comprehensive understanding of various database paradigms (RDBMS, Graph Databases, NoSQL Products, etc.).
  • Solid background in programming, data structures, and algorithms-proficient in programming languages (Java, Scala, etc.) and advanced SQL.
  • Hands-on proficiency with major big data storage and processing frameworks/libraries (Hadoop, Spark, Kafka, Zookeeper, etc.).
  • Experience with enterprise-grade databases (Oracle, Neo4j, HBase, Cassandra, MongoDB, etc.).
  • Fundamental knowledge of Machine Learning (ML) concepts.
  • Excellent communication, presentation, and data-storytelling skills with the ability to convey complex issues clearly and concisely.
  • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field..
Benefits & perks
  • Competitive annual total income package
  • Annual salary review in March.
  • Premium health and personal accident insurance
  • Annual health check-up
  • Special support for female employees during maternity leave.
  • Awards recognizing performance and timely outstanding contributions
  • 100% sponsorship for in-depth international professional certification based on position (in case of unsuccessful attempt, don't worry, VCS will support 50% of the exam fee), special bonuses for employees achieving international professional certifications
  • Continuous investment in the latest and most up-to-date learning materials in the field of Information Security from leading global vendors and institutes
  • 100% of employees are provided with an Udemy eLearning account - learn anytime, anywhere
  • Free participation in professional knowledge sharing programs and seminars from leading domestic and international speakers
  • Opportunity to work with diverse domestic and international clients
  • Working in a Grade A office - Landmark 72 building with a green space complex and a private area for gym and entertainment (billiards, PES, café, reading, Pingpong)
  • 30-minute relaxation daily with Happy hours (4:00 PM - 4:30 PM)
  • Sports activities: Swimming, Pickleball, Billiards, Poker, PES, etc.
  • Twelve (12) days of annual leave according to Labor Law, three (3) days of company vacation and one (1) traditional holiday on 22/12.
  • Personal birthday celebrations: Gifts and birthday cake from the Company
  • Gift and participation in company events: Quarterly team building activities, monthly birthday celebrations, Year End Party, vacations, International Women's Day (March 8th), Vietnamese Women's Day (October 20th) (female employees receive 1⁄2 day off), Viettel Group birthday on June 1st, etc
  • Care parents and children of employees on special occasions.

Thông tin chung

  • Thu nhập: Thỏa thuận

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Vị trí Senior Data Architect do công ty Công ty An ninh mạng Viettel- Chi nhánh Tập đoàn Công nghiệp- Viễn thông quân đội tuyển dụng tại Hà Nội, Joboko tự động tổng hợp mức lương Thỏa thuận, tìm thêm việc làm về Senior Data Architect hoặc công ty Công ty An ninh mạng Viettel- Chi nhánh Tập đoàn Công nghiệp- Viễn thông quân đội ở các link phía trên

Giới thiệu công ty

Công ty An ninh mạng Viettel- Chi nhánh Tập đoàn Công nghiệp- Viễn thông quân đội

Địa chỉ: Tầng 41 Landmark 72 Keangnam, Quận Nam Từ Liêm, Hà Nội
Quy mô: Từ 101 - 500 nhân viên

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