Senior Software Engineer (Observe by Snowflake, Streaming Data Products)

Join Snowflake as a Senior Software Engineer on the Observe team, where you will own the streaming data product surface and the data model that enables cross-signal correlation. You will design APIs, define freshness and staleness semantics, and lead a team technically. This role requires deep expertise in databases, SQL, stream processing, or data pipeline systems, as well as proficiency in Go or another systems language.

• Posséder la surface du produit de modélisation des données, y compris les API, les schémas et les abstractions.
• Concevoir les bonnes abstractions pour la création et la gestion des données interrogeables, y compris les vues matérialisées en streaming.
• Diriger techniquement une équipe, en définissant la direction architecturale, en écrivant du code de production et en mentorant les ingénieurs.
• 5+ years of software engineering experience with deep expertise in databases, SQL, stream processing, or data pipeline systems
• An architect's mental model — you think in systems, interfaces, contracts, and long-term evolution rather than short-term hacks
• Proficiency in Go or another systems language, with ability to write production-grade distributed systems code
• Demonstrated experience designing and shipping APIs with strong taste in DB schema design, versioning, and developer ergonomics
• A strong sense of user empathy and product intuition — you think beyond APIs and care about how customers define and query their data
• Deep knowledge of data processing or streaming internals — late-arriving data, backfill and reprocessing on schema changes, event-time vs. processing-time semantics — with experience building products and applications on top of them
• Experience building customer-facing data modeling or pipeline authoring products
• Hands-on experience with streaming semantics in production: watermarks, windowing, ordering, delivery guarantees, late-arriving data
• Prior work building internal data platforms that turned raw event streams into curated, queryable tables for internal teams
• Background in designing or extending query languages, schema DSLs, or transformation DAG semantics
• Familiarity with Apache Iceberg, open table formats, or data lakehouse architectures