Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Department
Trung tâm CNTT và CĐS
Salary
Thương lượng
Location
Trung tâm CNTT và CĐS, Hà Nội
Overview
- Lead the conceptual, logical, and physical data modeling efforts for the Data Lakehouse, Data Warehouse, and operational data stores, ensuring high quality and optimal performance.
- Define the overall data architecture roadmap and technology stack (Cloud, tools, services) to support high-volume data ingestion, transformation, and consumption across the enterprise.
- Design and document scalable, resilient, and cost-optimized ETL/ELT data integration patterns for diverse data sources (tourism platforms, social media, internal systems).
- Establish and enforce data governance frameworks, standards, policies, and best practices for data quality, metadata management, lineage, security, and compliance.
- Act as the expert consultant and technical mentor to the Data Engineering team, guiding them on complex implementation, optimization (e.g., Spark tuning), and troubleshooting of data pipelines.
- Collaborate with CTO/Leadership and business stakeholders to translate strategic business requirements into feasible, high-impact data architecture solutions.
- Evaluate and recommend new data technologies, tools, and platforms to ensure the data ecosystem remains cutting-edge and future-proof.
- Manage and maintain the overall data security model, including access control and data masking/anonymization techniques.
- 5 to 7 years of hands-on experience in Data Engineering focusing on designing and scaling complex data platforms.
- Proven track record of designing and implementing end-to-end cloud-native data architectures (Data Lakehouse/Data Mesh) on AWS, Azure, or GCP.
- Expertise in advanced data modeling techniques (Dimensional, Data Vault) and their application in highly transactional and analytical environments.
- Strong hands-on proficiency in SQL and Python/Scala for prototyping and demonstrating architectural patterns.
- Deep experience with modern data processing technologies: Apache Spark (PySpark/Scala) is mandatory, and workflow orchestration (Airflow).
- Solid experience in defining and enforcing data governance, quality, and metadata management strategies.
- Excellent ability to communicate complex architectural concepts to both technical teams (Engineers) and business stakeholders (Leadership).
- Experience managing Data Architecture for products built from scratch (Greenfield).
- Experience with streaming architectures (Kafka, Kinesis) and real-time data processing patterns.
- Certifications in Cloud Data Architect (e.g., AWS Certified Data Analytics - Specialty, Azure Data Engineer Associate).
- Working knowledge of DataOps/MLOps principles and CI/CD for data deployments.
- Be part of the core data team driving Sun Group’s digital transformation journey.
- Work with cutting-edge cloud and data technologies, building systems at national scale.
- Collaborate with talented engineers, architects, and analysts in an environment that values innovation and knowledge sharing.
Benefits
- + “An cu lac nghiep” policy: full-value commercial apartment granted to employees with long-term tenure
- + Special Suncare Insurance benefits for employees and loved ones (no fee for employees)
- + Comprehensive health check-up program at Sun Group International Hospital
- + Theme-parks/Cable Car (Free tickets), Symphonic music promotion, Hotels & Resorts promotion, NCB bank special offer, Real Estate product discount, Aviation, etc.
Summary of facts from the official posting. View original ↗
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