Senior Data Engineer - Product

Senior Software Engineer - Observe by Snowflake, Streaming Data Products

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using open formats like Apache Iceberg — at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world's leading data platforms. We are hiring a Senior Software Engineer on the Observe team at Snowflake to own the streaming data product surface — the tables, views, and materialized views at the core of Observe's architecture. Observe's data lake approach lets customers correlate heterogeneous telemetry — logs, metrics, traces, events — across a unified data model. This role owns that data model: how customers define, shape, and query the semi-structured data that makes cross-signal correlation low-latency and cost-efficient, at petabyte scale, over continuous streaming telemetry. AS A SENIOR SOFTWARE ENGINEER — STREAMING DATA PRODUCTS AT SNOWFLAKE, YOU WILL: * Own the data modeling product surface — the APIs, schemas, and abstractions through which customers create tables, views, and materialized views that unify their telemetry for correlation and querying, designed for high-performance execution at scale * Design the right abstractions for how customers create and manage queryable data — from streaming materialized views to reference tables to log-derived metrics — each serving different needs but composing under one coherent, evolvable model * Define freshness and staleness semantics that let customers trust their materialized views are current, and design the controls to tune the trade-off between query latency and compute cost * Design APIs with strong schema taste: versioning, backwards compatibility, polymorphic data models, and clean contracts between systems * Drive requirements and shape the execution engine based on what the product surface needs * Layer complexity so an SRE gets a useful table from opinionated defaults in minutes, while a data engineer can express multi-stage pipelines with custom joins, windowing, and time-based aggregations * Lead a team technically — setting architectural direction, writing production code, and mentoring engineers OUR IDEAL SENIOR SOFTWARE ENGINEER — STREAMING DATA PRODUCTS WILL HAVE: * 5+ years of software engineering experience with deep expertise in databases, SQL, stream processing, or data pipeline systems * 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 * Demonstrated experience designing and shipping APIs with strong taste in DB schema design, versioning, and developer ergonomics * An architect's mental model — you think in systems, interfaces, contracts, and long-term evolution rather than short-term hacks * A strong sense of user empathy and product intuition — you think beyond APIs and care about how customers define and query their data * Proficiency in Go or another systems language, with ability to write production-grade distributed systems code BONUS POINTS FOR THE FOLLOWING: * 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 * Background in designing or extending query languages, schema DSLs, or transformation DAG semantics * Prior work building internal data platforms that turned raw event streams into curated, queryable tables for internal teams * Familiarity with Apache Iceberg, open table formats, or data lakehouse architectures WHY JOIN OUR OBSERVE TEAM AT SNOWFLAKE? Observe's data modeling surface — how customers go from raw telemetry to structured, queryable, correlated data — has proven successful and is now at an inflection point, growing rapidly in richness and complexity to serve evolving enterprise needs. Your architectural decisions will shape how this surface scales — serving thousands of teams, supporting new abstraction types, and maintaining coherence as the platform matures. And you'll do it backed by Snowflake's query engine and data platform, with the ownership culture and shipping velocity of a small focused team. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Senior Software Engineer - Data Engineering Experience

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Data Engineering Experience (DEX) team and help shape the future of data engineering at Snowflake. We are a mature, highly diverse team dedicated to crafting exceptional data ingestion, pipeline authoring, and observability experiences for our customers. If you're passionate about building elegant web applications and frameworks in a collaborative, supportive environment, then we invite you to be part of our team's success story. AS A SENIOR SOFTWARE ENGINEER YOU WILL: * Drive high impact initiatives that span our product areas and tech stack including Java, Python, and golang. * Promote strong collaboration within a cross functional team and partner closely with embedded product managers and designers. * Deliver features requiring close coordination with several sister teams * Be a strong contributor to the product vision and drive team planning. * Build for scale and high performance * Mentor, coach, and empower more junior team members OUR IDEAL CANDIDATE WILL HAVE: * 7+ years hands-on software development experience, including significant experience in full stack software development. * Deep understanding of modern web applications design architecture, good API design patterns, security, performance and scale * Knowledge of database internals and SQL is a big plus. * Passionate about building the best customer-facing products. * Strong written, verbal, and technical communication skills. * BS/MS in Computer Science or related majors. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Senior Manager, Product Data Science

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. * Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day * Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: * Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g., Cortex AI functions, Agents, CoCo) to accelerate product development and data-driven decision-making. * Mentor team members in core DS disciplines and on the effective and governed use of generative AI tools, including establishing AI best practices and guardrails. * Drive the team's focus toward AI-native deliverables, such as building out Agentic services, semantic views, and conducting AI evaluation for new product features, strategically shifting away from automatable work. * Be hands-on by serving as the primary data scientist on projects, specifically focusing on validating the accuracy and output quality of AI-powered analysis and developing POCs for new AI-driven product features. * Partner with technical and business stakeholders to not only come up with solutions to stated problems, but encourage and enable the team to develop bottoms up ideas. * Maximize the impact of the team, by making sure the data scientists have the best and correct context, and ensuring their skill sets are properly matched to the project. * Grow the team, when appropriate. Convince job candidates on why Snowflake, and the product data science team is an awesome place to work QUALIFICATIONS: * Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field * 10+ years experience as a Data Scientist * 5+ years of experience in building, managing, and leading a high-performing data science team * Experience in using data science to optimize the user experience. * Expert in SQL and Python. * Demonstrated experience with internal AI tools to build scalable data pipelines and drive analytical workflows. * Advanced knowledge/experience in machine learning and Large Language Models (LLMs), including the ability to critically evaluate and validate AI/ML outputs (e.g., using AI evaluation methods and understanding the limitations of AI Functions). * Ability to communicate and influence complex ideas to cross-functional stakeholders. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com