A Senior Solution Engineer role at the intersection of data, AI, and complex enterprise architecture, working with sales teams and partners to deliver demonstrations and proof of concepts.
Locations (2)
North Carolina, United States
South Carolina, United States
Compensation
$220,000 - $288,000 OTE (On Target Earnings = Base Salary + Commission/Quota)
Responsibilities
Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers
Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward
Build and deliver tailored demos and proof of concepts across Snowflake's full data platform: data engineering (Snowpark, Dynamic Tables, Snowpipe), AI/ML (Cortex AI, ML model registry), and data sharing (Data Clean Rooms, Marketplace listings)
Guide customers through modern data architecture patterns including Data Mesh, Data Lakehouse, real-time streaming pipelines, and unified governance frameworks
Own the end-to-end technical relationship for a single strategic Global Account in financial services or manufacturing/telco
Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of enterprise buyers
Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, or smart manufacturing, supply chain telemetry, and AI/ML workloads
Act as a subject matter expert on enterprise data architecture, translating complex regulatory, operational, and technical requirements into practical, production-ready Snowflake solutions
Partner closely with the Account Executive/GAM and leadership as the sole technical owner of the account, co-developing the joint success plan and ensuring technical alignment across every active opportunity
Requirements
Nice to have: direct experience working within or selling to global financial institutions or enterprise manufacturers
Nice to have: hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps
Nice to have: familiarity with enterprise cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop)
Nice to have: experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated or industrial environments
The Senior AI Data Solutions Engineer is responsible for designing, building, and deploying internal AI applications and data products within the Snowflake ecosystem, establishing technical direction for evaluation, governance, and improvement.
Compensation
USD $137,000.00 - $174,000.00 Year
Responsibilities
Architect, design, build, and deploy agentic AI architectures and LLM-powered applications (chatbots and assistants) on Snowflake
Lead the design and operation of RAG pipelines, including data preparation, embedding, search indexing, semantic routing, and retrieval tuning using Snowflake Cortex AI and Python-based orchestration frameworks
Own the strategy for semantic layers, semantic models, and metadata to give AI tools consistent business definitions and reduce hallucination
Build and deliver descriptive, prescriptive, and predictive analytics solutions, including machine learning and statistical models exposed as endpoints
Develop user-facing AI experiences using Streamlit in Snowflake, Snowpark, and existing analytics tools
Requirements
Bachelor’s degree in Computer Science, Data Science, or equivalent
Senior technical authority and trusted advisor for Australia's largest financial institutions, translating business strategy into durable data and AI architecture using the Snowflake platform.
Responsibilities
Serve as the senior technical authority and trusted advisor to CxO and chief-architect stakeholders at Australia's largest financial institutions.
Define reference architectures and modernization roadmaps for FSI workloads such as risk, fraud, regulatory reporting, customer 360, and generative AI.
Lead high-stakes architectural engagements end to end, from discovery through to a defensible target-state design.
Influence the Snowflake product roadmap by channeling field insight and FSI regulatory needs back to product and engineering teams.
Partner with account teams, solution engineers, and SI and GSI partners to unblock the most complex technical decisions.
Own a named territory of Singapore public sector agencies, building account plans that connect the Snowflake AI Data Cloud to each agency's mission, digital roadmap and AI ambitions
Run complex, procurement-driven sales cycles end to end, including tenders, RFPs, quotations and framework or bulk tender arrangements, through to contract and expansion
Show how Snowflake Horizon governance, secure data sharing, Cortex AI and Snowpark help agencies unify data across silos and deliver AI use cases that are transparent, auditable and secure
Build trusted relationships from programme and data teams through to CIO and CDO level, influencing how agencies approach their data and AI strategy
Co-sell with the systems integrators, cloud partners and marketplaces (AWS, Azure, Google Cloud) that deliver for the Singapore government, building joint pipeline and account plans
Requirements
A degree or equivalent practical experience
Nice to have: cloud partner or consultancy with a public sector practice
Build backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications for Snowflake’s Go-To-Market organization.
Compensation
The estimated base salary range for this role is $156,000 - $224,200. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Responsibilities
Design and build scalable backend services and distributed systems that power production AI and agentic applications.
Develop APIs, orchestration services, and platform capabilities for internal AI products.
Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python libraries.
Evolve our engineering platform through modern CI/CD pipelines, automated testing, deployment tooling, and developer experience improvements.
Optimize AI infrastructure and backend services for performance, scalability, reliability, security, and cost efficiency.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related technical field
Nice to have: Snowflake platform
Nice to have: Snowpark
Nice to have: Cortex AI
Startup Business Development Lead - Snowflake for Startups
Lead business development for AI-native startups, building relationships, executing GTM strategies, and driving adoption of Snowflake AI products.
Compensation
The estimated base salary range for this role is $140,000 - $201,200. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
Responsibilities
Build and grow relationships with high-priority AI-native startups, founders, venture investors, and ecosystem partners
Develop and execute a startup GTM strategy to accelerate adoption of Snowflake with a heavy emphasis on Snowflake’s AI products
Serve as a trusted voice on AI-native startup trends, including model usage, data infrastructure, agentic workflows, and enterprise adoption patterns
Help founders understand how to build and scale AI applications with Snowflake, including Cortex AI, Cortex Agents, Cortex Search, Document AI, Snowpark ML, and related platform capabilities
Partner with Sales, Solutions Engineering, Product, Marketing, AI Partnerships, and Snowflake Ventures to drive coordinated startup acquisition and expansion motions
Lead technical discovery with customers and translate business priorities into architectures built on the Snowflake AI Data Cloud.
Responsibilities
Lead technical discovery with customers and translate business priorities into architectures built on the Snowflake AI Data Cloud.
Design and demonstrate solutions using Snowflake capabilities such as Cortex AI, Snowpark, Dynamic Tables, Streamlit in Snowflake, and secure data sharing.
Build proofs of concept that validate performance, governance, interoperability, and business value for high-priority customer workloads.
Advise customers on modernizing data platforms and migrating analytical workloads to Snowflake while reducing complexity and operational overhead.
Partner with Account Executives, Product Management, Professional Services, and Snowflake partners to develop account strategies and remove technical barriers.
Requirements
Bachelor’s degree in computer science, engineering, information systems, or a related field
Nice to have: background in data mesh, data product design, or enterprise data governance frameworks relevant to industry compliance and operational requirements
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