Solutions Architect

TDengine has demonstrated the viability of its flagship product with 250+ paying customers, with a number of large enterprises among them. It also enjoys the support of an enthusiastic developer and user community. Based on such strong validation we plan to invest heavily to capture the market opportunities and are confident in the fact that our quantum leap in performance and storage efficiency will win over customers effectively. At the same time, we would not want to trivialize the efforts needed and challenges to be faced in such an endeavor.

Role Overview :

We are seeking a highly skilled and motivated Solution Architect to join our growing team. As a Solution Architect, you will work closely with customers, partners, and internal teams to design and implement innovative solutions using TDengine. Your primary goal will be to help customers maximize the value of our platform while addressing their specific use cases and technical challenges.

Responsibilities :

Solution Design and Architecture

• Collaborate with customers to understand their business needs, technical requirements, and existing infrastructure.
• Design end-to-end solutions leveraging TDengine’s platform, including data ingestion, storage, and analysis workflows.
• Develop integration strategies with other enterprise systems, including cloud services, IoT platforms, and industrial protocols (e.g., MQTT, OPC UA).

Customer Engagement

Technical Leadership

Qualifications :

Benefits to work with TDengine

Company Description

TDengine is the cloud native, high performance, simplified solution for time-series data. It has been well received by the developer community since it was made available under open source license three years ago, garnering more than 23,400 GitHub stars so far and hundreds of clones on a daily basis. It has also found solid market traction generating rapidly growing revenue for the company. TDengine was founded and is led by veterans in the technology industry with accomplished and proven track records.

With its success so far in the technology community as well as in the marketplace, the company has enjoyed somewhat unprecedented support from 1st tier venture capital firms including GGV, Sequoia and Matrix Partners, with rapidly rising valuation in recent years. Institutional funding to date as of series B has exceeded $70 million. Such support is also strong validation of our vision for a future, where big data will mostly be generated from machines, sensors as well as automation devices instead of user behavior or actions, which is as of this moment the mainstream perception. We have more than ample reason and evidence to believe that we are on a path to success that rivals or exceeds the mega successes in recent years in the open source big data sector.