As a key member of the Tencent Cloud Big Data team, the Senior Solution Architect will provide technical consulting and deliver end-to-end data solutions for strategic enterprise customers across international markets. This role combines deep big data expertise, customer-facing solution leadership, and global market insight to help organisations address complex data challenges, modernise their architectures, and realise the differentiated value of Tencent Cloud.
- Engage enterprise customers to understand their requirements across big data architecture, real-time processing, data lakes, analytics, and data governance, and design scalable end-to-end solutions for industries such as e-commerce, gaming, and fintech.
- Lead technical workshops, architecture discussions, solution demonstrations, and Proofs of Concept (PoCs), supporting customers throughout cloud migration, platform modernisation, and architecture upgrade initiatives.
- Articulate the technical and business value of Tencent Cloud’s big data portfolio and develop competitive differentiation strategies against platforms such as AWS, Microsoft Azure, Google Cloud, Snowflake, and Databricks.
- Serve as the technical bridge between international customer-facing teams and Tencent Cloud’s R&D headquarters, collaborating with product, engineering, sales, and post-sales teams to ensure effective solution implementation and issue resolution.
- Identify recurring international market requirements, including data compliance, localisation, interoperability, and multi-cloud deployment, and translate these insights into recommendations for product roadmap and globalisation initiatives.
- Bachelor’s degree or above in Computer Science, Information Technology, Communications Engineering, or a related discipline
- At least five years of relevant experience in big data architecture, technical consulting, solution design, or platform implementation with strong technical knowledge of the Hadoop ecosystem and relevant technologies, including Spark, Flink, Elasticsearch, Apache Doris, ClickHouse, and Trino.
- Demonstrated understanding of modern data architectures, including data lakes, lakehouse platforms, real-time data processing, serverless data services, and open table formats such as Apache Iceberg and Apache Hudi.
- Familiarity with leading cloud data and analytics platforms, including AWS EMR and Redshift, Google BigQuery, Snowflake, and Databricks, with the ability to conduct technical comparisons and develop differentiated solution strategies.
- Professional proficiency in English and Chinese, both written and verbal, is required to independently deliver technical presentations and solution proposals to international customers in English and Chinese Mandarin, and to collaborate effectively with Chinese-speaking product and R&D stakeholders at Tencent China headquarters.
As 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 or above in Computer Science, Information Technology, Communications Engineering, or related discipline
- At least five years' experience in big data architecture, technical consulting, solution design, or platform implementation
- Strong technical knowledge of the Hadoop ecosystem and technologies including Spark, Flink, Elasticsearch, Apache Doris, ClickHouse, and Trino
- Understanding of modern data architectures: data lakes, lakehouse, real-time processing, serverless data services, and open table formats (Apache Iceberg, Apache Hudi)
- Familiarity with cloud data and analytics platforms: AWS EMR, Redshift, Google BigQuery, Snowflake, Databricks
- Professional proficiency in English and Chinese (Mandarin), written and verbal
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.
