[Promising Startup] Data Manager/ Architect

We are looking for a senior Data Platform / Architecture Leader to own the evolution of a large-scale cloud AIoT data infrastructure processing hundreds of millions of time-series records every day. You will tackle architecture, scalability, reliability, and cost challenges as the platform prepares for its next stage of 10x growth.

What You’ll Do (Responsibilities)

• Own and evolve large-scale cloud data infrastructure for high-volume time-series workloads
• Identify architectural bottlenecks and lead platform migration and optimization initiatives
• Design highly available systems, disaster recovery mechanisms, and resilient data services
• Transform existing data infrastructure into reusable platforms supporting multiple AIoT products
• Partner with SRE and full-stack teams to align infrastructure with business requirements
• Balance scalability, system performance, reliability, and cloud infrastructure cost

What You’ll Bring (Requirements)

• Experience as a Software Architect, Infrastructure / Platform Lead, or Data Tech Lead
• Strong experience building cloud-based Linux / Docker / Kubernetes data systems
• AWS, Azure, or GCP experience; GCP is particularly relevant
• Deep knowledge of large-scale NoSQL systems and performance optimization
• Strong understanding of ELT / data pipeline architecture
• Excellent fundamentals in data structures, algorithms, operating systems, networking, and security
• Strong Python, Golang, or Rust programming skills
• Experience designing maintainable systems using Clean Architecture and modern engineering practices

Experience with 100TB+ datasets, distributed cloud architecture, microservices, or technical team leadership would be highly valuable.

What Sets This Company Apart (About the Company)

This company operates in the rapidly growing energy AIoT sector, where its platform already processes hundreds of millions of electricity data records daily and manages more than 100TB of historical data.

The next challenge is not simply adding features—it is designing an architecture capable of supporting another 10x increase in scale, while balancing performance, reliability, and infrastructure cost.

What’s Next (Call to Action)

If you’re currently working as a Senior Data Engineer, Data Platform Lead, Infrastructure Lead, or Software Architect and want to tackle genuinely large-scale distributed data problems, I’d love to connect.

Reach out for a confidential discussion about the architecture, team, and technical challenges.