The Data Engineer will be the technical leader responsible for defining the end-to-end data architecture and strategy for our modern data platform. You will design scalable, resilient, and secure data solutions from the ground up, ensuring alignment with long-term business goals. This role requires deep hands-on expertise (5-7 years) to both design and drive the implementation of the data roadmap, focusing on performance, integrity, and accessibility across massive datasets.

- 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.

Your Skills and Experience

Must-Haves:

- 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).

Preferred:

- 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.

Why You‘ll Love Working Here

- 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.

- Sun Group’s exclusive 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.