Staff Software Engineer - Ingestion
Staff Engineer · Staff · Full Time
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Role
What you'll do.
As a Staff Software Engineer - File Ingestion at Snowflake, you will lead the architectural vision and execution of next-generation, external-facing ingestion services that power the AI Data Cloud. This role requires deep expertise in distributed systems, API platform design, and delivering customer-facing features at global scale, overseeing high-throughput pipelines handling hundreds of petabytes quarterly while mentoring engineering teams.
Responsibilities
- Drive Technical Vision and Multi-Year Architecture: Define and establish the comprehensive technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP). Create foundational design documents that establish technical standards for reliability, security, and scalability across the entire ingestion platform stack.
- Lead End-to-End Feature Execution: Own the complete delivery pipeline for enterprise-grade external features, ensuring low-latency data landing, high availability, and seamless ecosystem integration with platforms like Snowpark Connect and partner connectors. Drive features from concept through General Availability (GA) to global scale.
- Architect Customer-Facing Services: Design and oversee the implementation of resilient, multi-tenant customer-facing endpoints and external APIs that expose file-ingest capabilities to external platforms, partner ecosystems, and customer applications. Ensure systems handle hundreds of petabytes of data quarterly with consistent performance.
- Lead Cross-Functional Technical Alignment: Partner with Principal Architects, Product Management, Security teams, and external developer platforms to translate enterprise customer requirements into robust system architecture. Facilitate high-stakes architectural reviews and establish consensus across multiple engineering organizations.
- Mentor and Elevate Engineering Excellence: Mentor and sponsor Senior, Mid-level, and Junior engineers on the team. Raise the bar for system design practices, code quality standards, testing methodologies, and operational maturity across the organization. Build a culture of technical leadership and continuous improvement.
- Direct Customer Engagement and Production Support: Engage directly with enterprise customer engineering teams to resolve complex integration challenges and debug production edge cases at scale. Translate real-world customer feedback and requirements into core platform capabilities that drive immediate business impact.
Qualifications
What we look for.
Technical
Expert-Level Java or C++
Demonstrate expert proficiency in Java or C++, with particular strength in engineers comfortable working across both systems-level C++ for performance-critical components and managed service Java frameworks for cloud infrastructure.
External API Design and Orchestration
Deep expertise in designing external APIs, cloud service orchestration patterns, and building resilient multi-tenant customer-facing endpoints that maintain high availability, low latency, and consistent performance under demanding production loads.
Distributed Systems Architecture
Proven expertise in designing, building, and operating large-scale distributed systems in production environments. Understanding of consensus protocols, transactional state machines, and coordination across geographically distributed components.
High-Throughput Data Ingestion Pipelines
Domain knowledge in at least one specialized area: high-throughput ingestion pipelines handling petabyte-scale data volumes, distributed query execution engines, messaging and streaming systems (Kafka, Pulsar), or database internals and query optimization.
Cloud-Native Infrastructure
Deep understanding of multi-cloud architectures, containerization, orchestration platforms, and the operational considerations for running mission-critical services across AWS, Azure, and GCP environments.
Education
Bachelor's Degree in Computer Science or Related Field
BS, MS, or PhD in Computer Science, Computer Engineering, or equivalent practical software engineering experience demonstrating mastery of fundamental computer science concepts.
Experience
10+ Years of Distributed Systems Experience
Minimum 10 years of professional experience designing, building, and operating large-scale distributed systems or cloud-native infrastructure in production environments with proven stability and scale.
Architectural Leadership Track Record
Demonstrated track record of architectural leadership with successful examples of taking complex, customer-facing services or external APIs from initial concept through General Availability (GA) and scaling to global production deployments.
Cross-Functional Technical Leadership
Proven ability to drive technical consensus and influence across cross-functional teams including Product, Security, Infrastructure, and external technical stakeholders. Evidence of setting technical direction and establishing standards that elevate organizational practices.
Skills
Required
Distributed Systems Design
Advanced capability in designing fault-tolerant, scalable systems with deep understanding of consistency models, failure modes, and recovery strategies at petabyte scale.
API Design and Platform Architecture
Expertise in designing robust external APIs, versioning strategies, backward compatibility, rate limiting, and building developer-friendly platforms that scale to millions of requests.
Production Systems Engineering
Strong operational excellence background including monitoring, observability, debugging production incidents, performance optimization, and maintaining high availability SLAs.
Technical Documentation and Communication
Exceptional written and verbal communication skills with demonstrated ability to articulate complex technical concepts, drive technical consensus, and influence engineering decisions across organizations.
System Performance Optimization
Expertise in identifying and resolving performance bottlenecks in high-throughput systems, including profiling, optimization techniques, and latency analysis.
Preferred
External Developer Platforms
Nice to haveExperience building and scaling external developer platforms, SDKs, or public SaaS APIs serving external consumer bases and managing developer ecosystem growth.
Open Table Format Expertise
Nice to haveDeep familiarity with open table formats like Apache Iceberg and Delta Lake, plus integration experience with ecosystem tools like Apache Spark and Ray for data processing.
Advanced Performance Engineering
Nice to haveSpecialized knowledge in memory management optimization, SIMD vectorization, lock-free data structures, cache optimization, and I/O performance tuning at massive scale.
Metadata Management and Consensus Protocols
Nice to haveStrong background in building metadata systems, implementing transactional state machines, and working with distributed consensus protocols like Raft or Paxos.
Open-Source Infrastructure Contributions
Nice to haveActive contributions to open-source data infrastructure projects, cloud-native compute systems, or query engine development, demonstrating commitment to the broader engineering community.
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 236,000 – 339,200
Equity·Stock options
Benefits
Comprehensive Health Insurance
Medical, dental, and vision coverage for employees and dependents, including preventive care and wellness programs.
Equity and Stock Options
Competitive equity packages allowing engineers to participate in company growth and success as stakeholders.
401(k) Retirement Planning
Employer-sponsored retirement plan with company matching contributions for long-term financial security.
Flexible Work Arrangements
Remote work options and flexible scheduling to support work-life balance and accommodate diverse working styles.
Professional Development
Learning budgets, conference attendance, training programs, and mentorship opportunities for continuous skill development.
Parental Leave
Generous paid parental leave policies supporting employees during life transitions.
Mental Health and Wellness
Counseling services, meditation apps, fitness stipends, and wellness programs supporting overall employee wellbeing.
Paid Time Off
Competitive vacation, sick leave, and personal time policies supporting work-life balance.
Process
Interview steps.
- 01
Initial Recruiter Screen
Preliminary conversation with technical recruiter to assess background, experience with distributed systems, and alignment with Snowflake's culture and engineering values. Typically 30 minutes and focuses on career trajectory and motivation.
- 02
Technical Architecture Interview
Deep-dive with a Staff or Senior engineer covering distributed systems design, API architecture, and approach to solving large-scale ingestion challenges. Expect to discuss past architectural decisions, trade-offs, and system design principles. Approximately 60 minutes.
- 03
Systems Design Deep-Dive
Focused technical interview on designing customer-facing external APIs and high-throughput ingestion services. May include whiteboarding exercises, discussing scalability considerations, multi-tenancy patterns, and handling edge cases in production.
- 04
Leadership and Cross-Functional Collaboration
Conversation with Product Management, Security, or Infrastructure leadership assessing ability to influence across organizations, drive consensus, and translate customer requirements into technical strategy. Discusses mentorship philosophy and team elevation.
- 05
Domain Expertise Assessment
Technical discussion focused on specific domain knowledge in ingestion pipelines, query execution engines, streaming systems, or database internals. Validates depth in one or more critical technical areas aligned with role requirements.
- 06
Final Leadership Round
Meeting with engineering leadership or principal architect to assess cultural fit, long-term vision alignment, and readiness for staff-level architectural impact. Discusses role's strategic importance to Snowflake's platform evolution.
Full posting
Original listing.
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.
Staff Software Engineer – File Ingestion (Customer-Facing Services)
Build the Future of the AI Data Cloud
Snowflake’s File Ingestion team owns the core engines behind COPY INTO and Snowpipe — the primary arteries landing customer data into the AI Data Cloud at hundreds of petabytes per quarter.
We are expanding our core mission to build next-generation, external-facing ingestion services that directly expose file-ingest capabilities to external platforms, partner ecosystems, and customer applications. As a Staff Software Engineer, you will lead the architectural vision and execution for these mission-critical, customer-facing services. You will operate at the intersection of high-throughput distributed systems, API platform design, and direct customer feature delivery, defining how enterprise data seamlessly flows into Snowflake at global scale.
What You’ll Do
Drive Technical Vision & Architecture: Define the multi-year architecture and technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP).
Deliver Customer-Facing Innovations: Lead the end-to-end execution of enterprise-grade external features, ensuring low-latency data landing, high availability, and seamless ecosystem integration (e.g., Snowpark Connect, partner connectors).
Set Technical Direction: Author foundational design documents, establish technical standards for reliability, security, and scalability, and lead high-stakes architectural reviews across engineering orgs.
Lead Cross-Functional Alignment: Partner closely with Principal Architects, Product Management, Security, and external developer platforms to translate customer requirements into resilient system architecture.
Elevate Engineering Excellence: Mentor and sponsor Senior, Mid-level, and Junior engineers; raise the bar for system design, code quality, testing methodologies, and operational maturity.
Direct Customer & Strategic Impact: Engage with enterprise customer engineering teams to solve complex integration challenges, debug production edge cases at scale, and turn direct customer feedback into core platform capabilities.
What We’re Looking For
10+ years of experience designing, building, and operating large-scale distributed systems or cloud-native infrastructure in production.
Proven track record of architectural leadership, having successfully taken complex, customer-facing services or external APIs from initial concept to General Availability (GA) and global scale.
Expert proficiency in Java or C++ (strong preference for engineers comfortable working across both systems-level C++ and managed service Java frameworks).
Deep expertise in external API design, cloud service orchestration, and building resilient, multi-tenant customer-facing endpoints.
Deep domain knowledge in at least one of the following: high-throughput ingestion pipelines, distributed query execution engines, messaging/streaming systems (e.g., Kafka, Pulsar), or database internals.
Exceptional written and verbal communication skills with a demonstrated ability to drive technical consensus across cross-functional leadership, product partners, and external technical stakeholders.
BS, MS, or PhD in Computer Science, Computer Engineering, or equivalent practical experience.
Bonus Points
Experience building and scaling external developer platforms, SDKs, or public SaaS APIs serving external consumers.
Deep expertise with open table formats (Apache Iceberg, Delta Lake) and integration with ecosystems like Apache Spark or Ray.
Advanced performance engineering expertise: memory management, SIMD, vectorization, lock-free data structures, or I/O optimization at PB-scale.
Strong background in metadata management, transactional state machines, or consensus protocols (e.g., Raft, Paxos).
Active contributor to open-source data infrastructure, cloud-native compute systems, or query engines.
Why This Team
Massive Strategic Impact: You will lead the expansion of Snowflake's most critical data-path surface into direct, customer-facing integrations that unlock new platform ecosystems and drive platform volume.
Broad Architectural Scope: Your work will bridge edge API layers, control-plane orchestrators, file scanners/parsers, query planners, and underlying storage engines.
High Customer Visibility: Work directly on features that power the external integrations for Fortune 500 enterprises, seeing the immediate revenue and performance impact of your architecture.
Culture of Technical Leadership: Partner directly with Snowflake’s top architects and leads in an environment that values deep technical autonomy, rigorous engineering, and long-term architectural stewardship.
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
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