Data Architect SQL/ Python/ Scala/ AWS/ Azure

The Data Architect 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
f the data roadmap, focusing on
performance, integrity, and accessibility
across massive datasets.

Define the overall data architecture roadmap and technology stack (Cloud, tools, services) to support high- volume data ingestion, transformation, and consumption across the enterprise.
Collaborate with CTO/Leadership and business stakeholders to translate strategic business requirements into feasible, high- impact data architecture solutions.
Manage and maintain the overall data security model, including access control and data masking/anonymization techniques.
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.
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.
Evaluate and recommend new data technologies, tools, and platforms to ensure the data ecosystem remains cutting- edge and future- proof.
Establish and enforce data governance frameworks, standards, policies, and best practices for data quality, metadata management, lineage, security, and compliance.
Design and document scalable, resilient, and cost- optimized ETL/ELT data integration patterns for diverse data sources (tourism platforms, social media, internal systems).

Yêu cầu công việc

Must- Haves:

5 to 7 years of hands- on experience in Data Engineering, including a minimum of 1 to 2 years in a dedicated Data Architect or Lead Data Engineer role 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)
n
AWS, Azure, or GCP.
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).
Strong hands- on proficiency in SQL and Python/Scala for prototyping and demonstrating architectural patterns.
Expertise in advanced data modeling techniques (Dimensional, Data Vault) and their application in highly transactional and analytical environments.
Deep experience with modern data processing technologies: Apache Spark (PySpark/Scala) is mandatory, and workflow orchestration (Airflow).

Preferred:

Working knowledge of DataOps/MLOps principles and CI/CD for data deployments.
Experience managing Data Architecture for products built from scratch (Greenfield).
Certifications in Cloud Data Architect (e.g., AWS Certified Data Analytics- Specialty, Azure Data Engineer Associate).
Experience with streaming architectures (Kafka, Kinesis) and real- time data processing patterns.

Tại sao bạn sẽ yêu thích làm việc tại đây

Collaborate with talented engineers, architects, and analysts in an environment that values innovation and knowledge sharing.
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.
Sun Group’s exclusive benefits:
“An cu lac nghiep” policy: full- value commercial apartment granted to employees with long- term tenure
Comprehensive health check- up program at Sun Group International Hospital
Special Suncare Insurance benefits for employees and loved ones (no fee for employees)
Theme- parks/Cable Car (Free tickets), Symphonic music promotion, Hotels & Resorts promotion, NCB bank special offer, Real Estate product discount, Aviation, etc.

Cập nhật gần nhất lúc: 2025-10-29 16:50:03