Senior Data Infrastructure Engineer, Query Engine

The role

You will develop the coordinator, compiler, and executor components of a query engine. This engine connects graph-native queries with enterprise data.

What you will do

• Design and extend compiler and executor components to support new query language features and functions.
• Build and optimize graph-native query capabilities across multiple data sources.
• Develop pass-through query logic for platforms such as Snowflake, Databricks, and Oracle.
• Work with the platform team to improve performance, reliability, and scalability.
• Debug and resolve complex query execution issues in production environments.

Required qualifications

• At least 5 years of experience in data infrastructure, query engine development, distributed systems, or database query processing.
• Experience building or maintaining query compilers, optimizers, or execution engines.
• Background with graph databases or graph query languages.
• Experience shipping distributed query processing across multiple data sources, including federated execution across heterogeneous systems.
• Proficiency in C++, Rust, or Java, with knowledge of SQL, query optimization, or compiler design.
• Experience optimizing query performance in high-volume or latency-sensitive environments, and familiarity with Snowflake, Databricks, or Oracle.

Nice to have

• Knowledge of semantic layers, knowledge graphs, or complex enterprise data environments

Before you apply

• Visa sponsorship is available.

About the company

clera is an early-stage AI infrastructure team building a query engine that connects graph-native queries with enterprise data.