1. Migration Architecture Design & Hands-on Implementation:
Design architecture migration solutions for public cloud customers. Focus on deep technical implementation for migrating overseas mainstream stacks (BigQuery, Databricks, Snowflake, etc.) to Tencent Cloud WeData + DLC/EMR (storage-compute separation architecture). Deploy migration environments, execute data synchronization, and perform business cutovers on the front line.
2. End-to-End Project Management & Delivery: Take ownership of the overall project schedule, risk control, and technical solution governance. Coordinate internal and external resources to overcome organizational and technical barriers, ensuring the successful final delivery of the migration project.
3. Process Assurance & Technical Support: Act as the primary technical point of contact for troubleshooting and resolving complex issues during migration. Ensure a fast and smooth transition to the cloud by managing data consistency, business continuity, and providing comprehensive technical guidance.
4. Deep Technical Optimization: Provide full-stack technical support, including but not limited to SQL syntax automated conversion/rewriting, Spark/Flink operator tuning, and post-migration performance benchmarking. Ensure that business performance on Tencent Cloud meets or exceeds expectations.
5. Product-Research Collaboration & Best Practices: Work closely with Solution Architects (SA) to professionally summarize and feed back real-world customer requirements, pain points, and tool defects. Assist SAs in refining migration roadmaps and co-authoring "Best Practice Manuals" for migrating from overseas cloud platforms to Tencent Cloud.
Who We Look For1. Hardcore Technical Background: Bachelor’s degree or above in Computer Science or related fields; 5+ years of experience in Big Data. Proficient in at least one programming language (Java, Scala, or Python) with strong coding skills and logic conversion capabilities.
2. Overseas Stack Expertise: Familiar with the architecture and use cases of at least one major product: BigQuery, Databricks, or Snowflake. Understand the differences between these and open-source ecosystems (Spark, Hive); cross-cloud migration experience is a plus.
3. System Analysis & Large-scale Management: Strong capability in system problem analysis and resolving complex architectural issues. Proven experience in cluster performance tuning, troubleshooting, source code optimization, and version upgrades; experience managing large-scale clusters (1000+ nodes) is preferred.
4. Migration Delivery Experience: Extensive experience in Big Data migration implementation and management. Master common migration workflows and methodologies for big data components. Familiar with mainstream vendor platforms and a proven track record of delivering large-scale cloud migration projects (PB-level).
5. Core Component Principles: Deep understanding of the Hadoop ecosystem, with source-code level or deep tuning experience in HDFS, Yarn, Spark, Hive, Flink, Doris, Iceberg/Hudi, etc. Capable of handling underlying compatibility issues in heterogeneous environments.
6. Soft Skills & Professionalism: Excellent customer service awareness, communication, and resource coordination skills. Proactive, self-driven, and highly responsible. Able to thrive under pressure in cross-cloud and overseas migration scenarios.
Equal Employment Opportunity at TencentAs an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Skills Required
- Bachelor's degree in Computer Science or related fields
- 5+ years of experience in Big Data
- Proficient in at least one programming language (Java, Scala, or Python)
- Familiar with major products like BigQuery, Databricks, or Snowflake
- Experience in managing large-scale clusters (1000+ nodes)
- Extensive experience in Big Data migration implementation
- Deep understanding of the Hadoop ecosystem
Tencent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tencent and has not been reviewed or approved by Tencent.
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Healthcare Strength — Healthcare coverage is positioned as a standout, with strong PPO options and relatively low prescription costs highlighted for U.S. plans. This suggests the medical offering can be a meaningful component of the overall rewards package for U.S.-based employees.
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Retirement Support — Retirement support is framed as competitive in the U.S., with employer match details called out as an item to confirm in writing. This indicates retirement benefits can be a notable strength where applicable.
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Strong & Reliable Incentives — Performance-linked incentives and share-based awards are repeatedly included as part of the compensation model, alongside potential RSU and sign-on eligibility in certain roles. This points to total rewards often extending beyond base pay through variable and equity components.
Tencent Insights
What We Do
Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.
