Senior Big Data Architect

About SHEIN 

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. 

Position Summary

We are seeking a Senior Big Data Architect to join our team. In this role, you will collaborate with cross-functional teams to implement and manage big data solutions that drive data-informed decision-making and align with business goals. You will lead the scalable, reliable, and efficient data systems.

As a Senior Big Data Architect, you will work with various teams to establish best practices in big data engineering and build robust systems for large-scale data processing. Additionally, you will play a vital role in enhancing operational efficiency, reliability, and scalability.

Job Responsibilities

• Serve in an operational role with on-call responsibilities, supporting Big Data teams and engineers to troubleshoot and resolve production issues. Oversee high-availability production environments, implement support procedures, and proactively manage operational challenges.

• Respond to data infrastructure incidents, using expertise in software development, systems engineering, and data architecture to prevent recurring issues.
• Lead data platform improvement initiatives, aligning with best practices to boost system efficiency. Participate in architectural reviews and guide the team in designing big data solutions on cloud platforms such as Hadoop/Spark/Flink/Hive/Kafka.
• Oversee capacity, utilization, and scalability by coordinating with cross-functional teams to manage service scaling.
• Enhance system observability and resiliency through advanced tooling and process optimization, ensuring data reliability.
• Support data engineers to meet Service Level Metrics (SLMs) and Service Level Objectives (SLOs).
• Develop and enforce design patterns for monitoring, benchmarking, and deploying new backend service features.
• Maintain comprehensive technical documentation, including network diagrams, runbooks, and procedures, to support system understanding and smooth operations.
• Work closely with partner teams to improve infrastructure reliability and performance through thoughtful system design improvements.

Job Requirements

• A bachelor’s degree or higher in Computer Science, Information Systems, or a related technical field is required.

• Expertise in implementing and overseeing big data architectures on cloud platforms such as Azure/AWS/GCP is essential, with a preference for Azure knowledge.
• Experience with Big Data component operation and maintenance, including Hadoop, Spark, Hive, and Yarn.
• Familiarity with cloud-native solutions for high availability and distributed systems is required, with the ability to monitor and analyze performance to resolve issues impacting reliability, performance, and scalability.
• A minimum of 5 years in a 24/7 enterprise production environment, supporting mission-critical, real-time, high-traffic applications in cloud environments, is necessary.
• A solid understanding of Linux systems is required.
• Strong experience with observability tools, such as Grafana, Prometheus, or Zabbix, is also required.
• Proficiency in scripting or programming languages like Python/GoLang/Shell is required.
• Strong verbal and written communication skills are essential, along with the ability to collaborate effectively with geographically distributed teams.

Nice to Have

• Familiar with container technology, such as: Docker, Kubernetes, etc.
• Experience with OSS technologies, like Kafka and Redis.
• Full-stack debugging and performance optimization ability, including knowledge of Cloud systems (load balancing, caching, content distribution, etc.), continuous integration/build systems.
• Systematic problem-solving approach, combined with a sense of ownership and drive.
• Bilingual of English & Chinese.

Benefits and Perks 

• Bonus and RSU eligible 
• Healthcare (medical, dental, vision, prescription drugs) 
• Health Savings Account with Employer Funding 
• Flexible Spending Accounts (Healthcare and Dependent care) 
• Company-Paid Basic Life/AD&D insurance 
• Company-Paid Short-Term and Long-Term Disability 
• Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident) 
• Employee Assistance Program 
• Business Travel Accident Insurance 
• 401(k) Savings Plan with discretionary company match and access to a financial advisor  
• Vacation, paid holidays, floating holiday and sick days   
• Employee discounts 
• Free weekly catered lunch 
• Dog-friendly office (available at select locations) 
• Free gym access (available at select locations) 
• Free swag giveaways 
• Annual Holiday Party 
• Invitations to pop-ups and other company events 
• Complimentary daily office snacks and beverages 

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