Tencent
Tencent Cloud – Solution Architect, Big Data & AI (Indonesia)
Pre-sales solution architect at Tencent Cloud in Jakarta, designing end-to-end Data+AI solutions (data platforms, real-time computing, lakehouse, AI/ML workloads) for telecom, fintech, retail, e-commerce and gaming clients. Runs PoCs and technical exchanges using Spark, Flink, ClickHouse, Iceberg/Hudi and PyTorch/TensorFlow.
- Compensation
- Not disclosed
- Location
- Indonesia-Jakarta
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Architecture
- Posted
Skills
Must have
- Bachelor's degree or above in Computer Science, Telecommunications or a related field
- 5+ years of experience in Data or AI Infrastructure, including customer-facing presales or solution architecture
- Solid understanding of big data technologies such as Spark, Flink, Elasticsearch, Doris, ClickHouse and Trino
- Familiar with data lake and lakehouse architecture (Iceberg, Hudi) and serverless data concepts
- Good understanding of AI/ML technologies such as Ray, PyTorch/TensorFlow and MLflow
- Familiar with current Data+AI topics: lakehouse + AI/ML integration, vector databases, RAG data foundations, data agents, ontology-based data modeling
- Understanding of Indonesia's data regulations (PDP Law, OJK financial services regulations, data localization/residency)
- Familiar with mainstream cloud Data+AI products (AWS EMR/Redshift/SageMaker, Google Cloud BigQuery/Vertex AI, Snowflake, Databricks) and able to do competitive analysis
- Strong logical thinking and communication skills; effective in cross-cultural, high-pressure environments
- Fluent in Bahasa Indonesia and English, written and spoken
- Able to independently deliver technical presentations, write proposals and support client negotiations
Nice to have
- Background at a cloud provider, data/AI platform vendor, or enterprise building its own data/AI platform
- Experience building machine learning platforms or multimodal data pipelines
- Experience applying Indonesia data regulations in Fintech or financial services scenarios
Full description
Business Unit
Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses.
What the Role Entails
- Insight & Solution Design: Deeply understand customers’ needs and pain points in data and AI scenarios, including data platforms, real-time computing, data governance and AI/ML workloads. Design end-to-end Data+AI solutions for industries such as Telecommunications, Financial Services (including Fintech), Retail, E-commerce and Gaming.
- Customer Acquisition & Value Proposition: Lead technical exchanges and Proof of Concept (PoC) projects for key clients. Communicate the core advantages of Tencent Cloud’s Data+AI products to drive cloud adoption, migration and architecture upgrades.
- Solution Building: Turn successful customer cases into repeatable Data+AI solutions that the team can reuse in the local market.
- Ecosystem & Partner Collaboration: Work with local system integrators (SIs), independent software vendors (ISVs) and consulting firms to co-create joint solutions and expand market reach.
- Cross-functional Collaboration: Act as the bridge between customers and the Big Data product team. Work with industry, product, R&D, delivery and post-sales teams to resolve client technical requests efficiently.
- Product Feedback & Localization: Identify key customer requirements for Data+AI products, such as data compliance and multi-cloud strategy. Feed them into the product roadmap to drive localization and continuous improvement.
Who We Look For
- Bachelor’s degree or above in Computer Science, Telecommunications or a related field.
- 5+ years of experience in Data Infrastructure or AI Infrastructure, including customer-facing presales or solution architecture experience.
- Background at a cloud provider, a data/AI platform vendor, or an enterprise building its own data/AI platform is preferred.
- Data Infrastructure: Solid understanding of big data technologies such as Spark, Flink, Elasticsearch, Doris, ClickHouse and Trino. Familiar with data lake and lakehouse architecture (Iceberg, Hudi) and serverless data concepts. Understands how these components behave in different data scenarios.
- AI Infrastructure: Good understanding of AI/ML technologies such as Ray, PyTorch/TensorFlow and MLflow.
- Familiar with current Data+AI topics, including lakehouse + AI/ML integration, vector databases, RAG data foundations, data agents and ontology-based data modeling.