Principal Software Engineer (Data Platform, Streaming, Dynamic Tables and more)

• As a Principal Engineer on the Data Platform team, you will be a technical anchor — setting direction, solving the hardest engineering problems, and elevating the entire team
• You will work at the intersection of systems design, long-term architecture, and real-world engineering execution
• In this specific role, you will lead the evolution of our declarative data pipelines, focusing on streaming ingestion and transformations
• Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily on real-time data movement and incremental processing
• Lead design reviews and set engineering standards across teams
• Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale
• Mentor and grow senior engineers; raise the engineering bar
• Partner closely with product and infrastructure leadership on roadmap and direction
• Continuous hands-on technical deliverables in the most critical areas

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- Excellent written and verbal communication for technical and executive audiences
• A passion for engaging directly with customers to gain insight and inspiration
• 14+ years of software engineering experience with deep expertise in distributed systems
• Expert-level knowledge of streaming and/or batch data systems (Flink, Spark, or equivalent), with specialized knowledge in incremental materialization algorithms
• Strong systems thinking — ability to reason across layers of complexity (infra, storage, compute, API)
• Experience influencing technical direction across organizations
• Demonstrated track record of defining and delivering platform-scale technical initiatives
• Experience with AI-augmented development practices and integrating LLM-based tooling into engineering workflows
• Familiarity with Snowflake platform internals or cloud-native data systems
• Experience with metadata systems, query optimization, or data catalog infrastructure
• Contributions to open source, such as top-level Apache projects