Lead Database Engineer & Architect

Huawei Canada has an immediate permanent opening for a Lead Database Engineer & Architect.

About the team: 

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.

About the job:

• Lead the design and development of a cutting-edge, all-in-one cloud-native database system.

• Architect a system that can handle diverse workloads, including OLTP, OLAP, HTAP, large-scale OLAP, and AI-native workloads such as LLMs and vector retrieval.

• Ensure the system's capability to handle AI jobs and provide flexible scalability.

• Develop an infrastructure that allows for the seamless integration of different databases.

• Oversee the foundational architecture for upper data processing.

• Collaborate with cross-functional teams to ensure alignment with company goals and objectives.

• Provide technical leadership and mentorship to the engineering team.

• Stay up-to-date with industry trends and advancements to drive continuous innovation.

About the ideal candidate:

• Minimum of 10 years of experience in database development and architecture.

• Proven experience in leading large-scale database projects in well-known companies.

• Proficiency in C++, Linux, parallel computing, MySQL, PostgreSQL, AI and distributed systems.

• Strong understanding of cloud-native architectures and database systems.

• Demonstrated ability to design systems that handle multiple workloads efficiently.

• Excellent problem-solving skills and a proactive approach to addressing challenges.

• Strong communication and leadership skills with the ability to inspire and guide a team.

• Experience with AI-native workloads and machine learning integrations is an asset.