Senior Data+AI Solutions Architect — Big Data

PT Tencent Technology Indonesia; Jakarta Pusat; On-site; IDR 400,000,000 - 900,000,000; Full time

Job summary

Tencent Cloud Indonesia is seeking a Solution Architect specializing in Big Data and AI. You will design end-to-end Data+AI solutions for industries like Telecommunications, Financial Services, Retail, and Gaming, leading PoCs and driving cloud adoption.

You will collaborate with customers, SIs, ISVs and internal product teams to tailor data platforms, governance, and AI workloads to local market needs, ensuring successful deployments and ongoing optimization.

Qualifications

• Deeply understand customer needs in data and AI scenarios such as data platforms, real-time computing, data governance and AI/ML workloads.

Responsibilities

• Lead technical exchanges and PoC projects for key clients.
• Communicate core advantages of Tencent Cloud Data+AI products to drive cloud adoption, migration and architecture upgrades.
• Turn successful customer cases into repeatable Data+AI solutions for local market.
• Work with local SIs, ISVs and consulting firms to co-create joint solutions and expand market reach.
• Bridge between customers and the Big Data product team to resolve client requests efficiently.
• Identify key customer requirements for Data+AI products and feed them into the product roadmap for localization.

Skills

Data Infrastructure

AI Infrastructure

Big Data

Solution Architecture

Presales

Cloud Platforms

Communication

English

Bahasa Indonesia

Education

Bachelor’s degree in CS or related field

Tools

Spark

Flink

Elasticsearch

Doris

ClickHouse

Trino

Iceberg

Hudi

Ray

PyTorch/TensorFlow

MLflow

Job description

Tencent Cloud Indonesia is seeking a Solution Architect specializing in Big Data and AI. You will design end-to-end Data+AI solutions for industries like Telecommunications, Financial Services, Retail, and Gaming, leading PoCs and driving cloud adoption.

You will collaborate with customers, SIs, ISVs and internal product teams to tailor data platforms, governance, and AI workloads to local market needs, ensuring successful deployments and ongoing optimization.