Snowflake

3 weeks ago

Senior Solution Engineer - Global Accounts

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Own the end-to-end technical relationship for a strategic global financial services account, guiding discovery, technical qualification, proof of concept, and ongoing expansion. Build and deliver solution architectures and executive demos that connect Snowflake’s platform capabilities to AI and data priorities across business units. Lead risk, regulatory, fraud, and AI/ML PoCs in FSI environments, translate requirements into production-ready solutions, and mentor junior Solution Engineers while coordinating with internal teams to drive adoption.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own the end-to-end technical relationship for a single strategic global financial services account, from discovery and qualification through PoC, technical close, and expansion.
•Build and deliver demonstrations, solution architectures, and executive presentations tying Snowflake capabilities to customers’ data and AI priorities.
•Design and lead PoC engagements for risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in regulated FSI environments.
•Translate complex regulatory and technical requirements into practical, production-ready Snowflake solutions as a subject matter expert on financial services data architecture.
•Coordinate with internal teams to resolve blockers, ensure technical alignment across opportunities, and mentor junior Solution Engineers.

Key Requirements

•8+ years in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B with exposure to financial services customers.
•Strong understanding of financial services data use cases, including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence.
•Hands-on expertise with cloud data platforms, ideally Snowflake, and ability to architect and demo enterprise-grade solutions live.
•Proficiency in SQL and Python, plus data engineering tools used in FSI environments such as dbt, Spark, and Kafka.
•Ability to communicate credibly with CDOs, CTOs, and CIOs and lead complex technical evaluations and competitive PoCs.

Experience:8+ yearsFinancial servicesEnterprise B2BPre-salesTechnical consultingData engineeringFSIAI/ML

Skills:Executive communicationMentorshipStakeholder managementTechnical advisoryExperimental mindset

Tech Stack:SnowflakeCortex AICortexSQLPythonDbtSparkKafkaSnowparkNative AppsTeradataOracleHadoop

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Snowflake

3 weeks ago

Senior Solution Engineer - Global Accounts

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own the end-to-end technical relationship for a single strategic global financial services account, from discovery and qualification through PoC, technical close, and expansion.
•Build and deliver demonstrations, solution architectures, and executive presentations tying Snowflake capabilities to customers’ data and AI priorities.
•Design and lead PoC engagements for risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in regulated FSI environments.
•Translate complex regulatory and technical requirements into practical, production-ready Snowflake solutions as a subject matter expert on financial services data architecture.
•Coordinate with internal teams to resolve blockers, ensure technical alignment across opportunities, and mentor junior Solution Engineers.

Key Requirements

•8+ years in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B with exposure to financial services customers.
•Strong understanding of financial services data use cases, including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence.
•Hands-on expertise with cloud data platforms, ideally Snowflake, and ability to architect and demo enterprise-grade solutions live.
•Proficiency in SQL and Python, plus data engineering tools used in FSI environments such as dbt, Spark, and Kafka.
•Ability to communicate credibly with CDOs, CTOs, and CIOs and lead complex technical evaluations and competitive PoCs.

Experience:8+ yearsFinancial servicesEnterprise B2BPre-salesTechnical consultingData engineeringFSIAI/ML

Skills:Executive communicationMentorshipStakeholder managementTechnical advisoryExperimental mindset

Tech Stack:SnowflakeCortex AICortexSQLPythonDbtSparkKafkaSnowparkNative AppsTeradataOracleHadoop

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn