Principal Software Engineer, Tech Lead - Databricks Platform

Builds highly scalable, high-availability ETL platforms and data processing pipelines for programmatic advertising. Develops real-time feedback systems, advanced analytic technologies, and a fast runtime query engine supporting millions of queries per second.

Lead Architect, Data & AI Platforms

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. 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. WHAT YOU'LL DO - 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. WHAT WE'RE LOOKING FOR - 14+ years of software engineering experience with deep expertise in distributed systems. - Demonstrated track record of defining and delivering platform-scale technical initiatives. - 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). - A passion for engaging directly with customers to gain insight and inspiration - Experience influencing technical direction across organizations - Excellent written and verbal communication for technical and executive audiences. DESIRABLE - 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 Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share ou

This Senior Software Engineer role focuses on building and integrating machine learning systems, with challenges in model deployment and scalability. The engineer will work on AI/ML product features, likely using frameworks like TensorFlow or PyTorch.

This role involves building and maintaining backend systems for Cardlytics' purchase-based advertising platform, focusing on scalable data processing and API development to handle transaction data and deliver targeted ads. Requires experience with Python, Java, and SQL.

This role drives new business sales for partner acquisition, focusing on a hunt-oriented go-to-market motion to build the partner ecosystem. It involves identifying and closing new partnerships to expand Cardlytics' network, likely targeting retailers and other data partners.