24 days ago
Base Salary
$200k - $288k/yr
Responsibilities
- Own the APIs, schemas, and abstractions for tables, views, and materialized views used to correlate and query heterogeneous telemetry.
- Design coherent data modeling abstractions including streaming materialized views, reference tables, and log-derived metrics.
- Define freshness and staleness semantics and controls balancing query latency with compute cost.
- Design versioned, backward-compatible APIs and polymorphic data models with clear system contracts.
- Shape execution-engine requirements based on the data modeling product surface.
- Enable both simple opinionated workflows and advanced pipelines with joins, windowing, and time-based aggregations.
- Set architectural direction, write production code, and mentor engineers.
Requirements
- Have 5+ years of software engineering experience with deep expertise in databases, SQL, stream processing, or data pipeline systems.
- Have deep knowledge of data processing or streaming internals, including late-arriving data, backfills, schema-change reprocessing, and event-time versus processing-time semantics.
- Demonstrate experience designing and shipping APIs with strong database schema design, versioning, and developer ergonomics.
- Think in systems, interfaces, contracts, and long-term evolution.
- Demonstrate user empathy and product intuition for how customers define and query data.
- Be proficient in Go or another systems language and able to write production-grade distributed-systems code.
- Preferred experience includes customer-facing data modeling or pipeline-authoring products, production streaming semantics, query languages or schema DSLs, internal data platforms, Apache Iceberg, open table formats, or data lakehouse architectures.
Benefits
- The role offers ownership and shipping velocity within a focused team backed by Snowflake’s query engine, data platform, global reach, and ecosystem.
- The posting directs United States candidates to the Snowflake Careers Site for salary and benefits information.
- Snowflake employees must follow confidentiality and security standards and the company’s data security plan.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.