Staff Software Engineer - Unistore

Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level.

We are seeking a highly talented and experienced Staff Software Engineer to join the Unistore team in our Database Engineering org . The Unistore team is building a unified hybrid data platform that dissolves the boundaries between operational and analytical workloads. Our core product, Hybrid Tables, enables enterprises to manage both transactional and analytical data in a single place.

By eliminating the need to move data between separate operational databases and analytical warehouses, we simplify architectures, reduce ETL complexity, and unlock high-performance, real-time application serving-all while maintaining Snowflake's industry-leading scale, performance, and ACID compliance.

Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be.

In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies.

- Participate in the development of a unique distributed database system combining high scalability and performance with rich ACID transactions.

- Identify strategically important problems, inefficiencies or opportunities for impactful improvements.

- Design and implement novel query optimization or distributed data processing algorithms to maintain Snowflake's industry-leading data warehousing capabilities.

- Design, develop, and support a petabyte-scale cloud database system, ensuring it is highly parallel and fault-tolerant.

- Develop and implement the new service architecture required to enable the next generation of the Snowflake Data Cloud.

- Analyze, understand, and resolve complex performance and scalability bottlenecks within the system.

- Own the end-to-end delivery of your projects, including identifying solutions, design, implementation, rigorous testing, and safe production rollout.

- Ensure operational readiness and execute production operations of services, meeting our customer commitments for durability, availability, and performance.

- Build high-quality, highly reliable software that meets the demands of the world's largest companies.

- Develop tools to provide customers with greater insight into their workloads.

- Evangelize best practices for database usage and end-to-end system architecture.

- Mentor and support the professional growth of junior engineers on the team.

- 8+ years of industry experience working on commercial or open-source software.

- Excellent problem-solving skills and a deep understanding of Computer Science fundamentals, including data structures, algorithms, and distributed systems.

- Strong systems programming skills, including experience with multi-threading and concurrency.

- A solid foundation in distributed systems concepts (e.g., consistency, scaling, failure recovery).

- Experience with implementation testing, debugging, and documentation, specifically within a Linux development environment.

- Intense curiosity, willingness to question and passion for making systems better

- SQL or other database technologies including internal design and implementation.

- Query optimization, query execution, compiler design and implementation.

- Experience with internals of distributed key value stores like FoundationDB and storage engines like RocksDB, InnoDB, BerkeleyDB etc.

- Data warehouse design, database systems, and large-scale data processing solutions like Hadoop and Spark.

- Big data storage technologies and their applications, e.g., HDFS, Cassandra, Columnar Databases, etc.