# Senior Solution Engineer - Global Accounts

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Unspecified
**Role:** Sales Engineering
**Experience:** 8+ years
**Skills:** Snowflake, SQL, Python, dbt, Spark, Apache Kafka, Cortex Ai, Snowpark, Native Apps, Teradata, Oracle, Hadoop, Llm Tools, Data Mesh, Data Governance
**Posted:** 2026-07-09

> Own the technical relationship for a strategic global financial services account, leading solution architecture, demonstrations, proofs of concept, and expansion. The role requires 8+ years in pre-sales, consulting, or data engineering, strong cloud data platform expertise, and credibility with executive stakeholders.

## Job Description

## Responsibilities
- Own the end-to-end technical relationship for a single strategic global financial services account, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion.
- Build and deliver demonstrations, solution architectures, and executive presentations connecting Snowflake’s platform capabilities to financial services data and AI priorities.
- Design and lead proof-of-concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads.
- Serve as a subject matter expert on financial services data architecture, translating regulatory and technical requirements into production-ready Snowflake solutions.
- Partner with the Account Executive and leadership as the account’s technical owner, co-developing success plans and ensuring technical alignment across opportunities.
- Coordinate internally across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption.
- Mentor and support junior Solution Engineers.

## Requirements
- 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant financial services exposure.
- Deep understanding of financial services data use cases, including risk management, regulatory reporting, market data, fraud analytics, and AI/ML for credit and customer intelligence.
- Hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demonstrate enterprise-grade solutions.
- Proficiency in SQL, Python, and data engineering tools such as dbt, Spark, Kafka, or equivalent.
- Excellent executive communication skills and the ability to engage with CDOs, CTOs, and CIOs at global financial institutions.
- Experience leading complex technical evaluations, winning competitive proofs of concept, and building technical relationships with strategic enterprise accounts.
- Experience using AI and LLM-based tools in technical workflows, including the ability to articulate Snowflake Cortex AI capabilities in a financial services context.

## Nice-to-haves
- Experience working within or selling to capital markets firms, tier-1 banks, insurers, or global asset managers.
- Experience with Snowflake, including Cortex AI, data sharing, Snowpark, and Native Apps.
- Familiarity with financial services cloud migration patterns and legacy platforms such as Teradata, Oracle, and Hadoop.
- Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated environments.
- Background in data mesh, data product design, or enterprise data governance frameworks relevant to financial services compliance requirements.

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