You will design and implement backend services using Python or Kotlin while collaborating with cross-functional teams to build card-related features. Additionally, you will participate in on-call rotations and contribute to the development of APIs and data models within a service-oriented architecture.
Architect and deliver end-to-end AI/ML and Generative AI solutions for enterprise clients from discovery to production. Lead technical implementation, provide architectural governance, and support pre-sales activities including client workshops and solution design.
Design and build a centralized reliability command center to monitor system health and risk across environments. Develop AI agents to assist with incident triage, root-cause exploration, and log summarization.
The Engagement Manager will own the end-to-end delivery of data and AI projects, acting as the primary point of contact for clients and internal teams. Responsibilities include managing project scope, risks, and budgets while translating technical delivery into actionable business outcomes.
Design and build custom, visually polished dashboards directly within the Omni platform to meet business requirements. Collaborate with stakeholders and data engineering teams to define metrics, validate data accuracy, and ensure intuitive user workflows.
The role involves maintaining and improving large-scale data infrastructure systems, including streaming and batch workloads. You will also develop automation tools, manage system reliability, and provide technical support to internal stakeholders.
Design and maintain security-focused infrastructure tooling and guardrails to ensure scalable and resilient services. Collaborate with cross-functional teams to integrate security principles into the engineering lifecycle and automate deployment pipelines.
The engineer will write backend and frontend code while designing software and contributing to implementation. They will also work cross-functionally with product and analytics teams to build APIs and data models within a service-oriented architecture.
You will lead engineering efforts to deliver quarterly goals and manage critical communication services including email, SMS, and push notifications. You will also collaborate with cross-functional teams to modernize platforms and ensure high availability through proactive maintenance and on-call rotations.
Design and implement enterprise-scale Generative AI and Agentic AI solutions using Snowflake Cortex native capabilities. Lead the development of RAG pipelines, AI evaluation frameworks, and production-ready intelligent applications for diverse business stakeholders.
The Solutions Architect will design and implement scalable data architectures using Snowflake while overseeing data engineering pipelines and governance frameworks. They will collaborate with stakeholders to optimize system performance and provide technical mentorship to the engineering team.
The System Administrator will manage day-to-day help desk ticket triage and ensure smooth IT operations. This role is also responsible for configuring SSO integrations and executing infrastructure changes through a formal change management process.
The Snowflake Engagement Manager will drive service opportunities and manage the operational relationship with clients to ensure successful project delivery. They will provide delivery oversight, manage project roadmaps, and collaborate with internal teams to support sales pursuits and resolve complex project challenges.
The AI/ML Architect will lead the end-to-end design and delivery of enterprise-scale AI, machine learning, and Generative AI solutions. This role involves translating complex business requirements into scalable, secure architectures while providing technical leadership across client engagements.
Lead the assessment, design, and modernization of enterprise-scale Snowflake data platforms for diverse clients. Define target-state architectures and guide multidisciplinary teams through the implementation of secure, governed, and AI-ready data solutions.
Design, develop, and maintain scalable data pipelines and transformation workflows within the Snowflake platform. Optimize platform performance and cost efficiency while collaborating with stakeholders to deliver secure and high-performing data solutions.
Design, build, and own scalable data pipelines and ingestion processes primarily on the Snowflake Data Cloud. Lead the architecture of data models and enforce governance and security standards across the platform.
Own the full enterprise sales cycle to acquire new Fortune 1000 clients and drive net-new business. Develop strategic go-to-market plans and collaborate with technical teams to deliver tailored cloud and data modernization proposals.
