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Senior Account Solution Engineer

Snowflake

Senior Account Solution Engineer

Snowflake

GB-London

·

On-site

·

Full-time

·

1w ago

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

LEAD THE AI DATA CLOUD EVOLUTION:

The Senior Solution Account Engineer is a high-impact, strategic role designed to architect and accelerate the customer journey on the Snowflake AI Data Cloud. In this senior capacity, you will bridge the gap for enterprise-level customers—ensuring rapid implementation and world-class architecture—while serving as a technical anchor and mentor for the broader Solution Engineering team.

You will be responsible for elevating the collective technical bar, refining internal methodologies, and providing the informal leadership necessary to ensure the team consistently delivers high-value outcomes.

KEY RESPONSIBILITIES AND DELIVERABLES:

Strategic Leadership & Portfolio Excellence:

  • Drive Regional Success: Take ownership of the technical health and consumption trajectory of high-priority accounts, acting as the lead strategist for complex, multi-stakeholder deployments.

  • Technical Mentorship: Serve as a mentor to junior and mid-level engineers, providing guidance on solution design, account strategy, and overcoming technical roadblocks.

  • Strategic Advisory: Act as the primary "Trusted Advisor" for executive stakeholders, aligning Snowflake’s capabilities with high-level business transformation goals.

  • Operational Oversight: Periodically review portfolio health and workflows to identify patterns, ensuring consistent delivery and proactively mitigating risks.

Advanced Technical Execution & Innovation:

  • Architectural Stewardship: Define "gold standards" for customers, including complex RBAC/Security frameworks, performance optimization at scale, and cost-governance.

  • AI-Driven Efficiency: Lead the adoption of cutting-edge AI development tools and coding agents (e.g., Gemini, Cursor AI, Claude Code, Glean), demonstrating how to leverage automation and prompt engineering for rapid delivery.

  • Programmatic Innovation: Design scalable programs, such as advanced workshops and technical playbooks, for use by the entire organization.

  • Cross-Functional Influence: Liaise with Product and Engineering teams to synthesize field insights into high-level product requirements and roadmap influence.

  • Resource Orchestration: Coordinate internal resources across Professional Services, Support, and Partner ecosystems to resolve high-stakes challenges.

QUALIFICATIONS AND EXPERIENCE:

Required Expertise

  • Senior Technical Proficiency: Deep mastery of SQL and substantial experience in data modeling and performance tuning.

  • Enterprise Architecture: Proven experience designing data architectures on major cloud platforms (AWS, Azure, or GCP) at scale.

  • Agentic AI Development: Solid hands-on experience in agent development and a high level of proficiency in prompt engineering.

  • Informal Leadership: Demonstrated experience mentoring peers, leading internal projects, or acting as a "subject matter expert."

  • Strategic Communication: Ability to translate complex technical concepts into business value for C-suite executives while remaining "deep in the weeds" with developers.

  • Education: University degree in Computer Science, Engineering, Mathematics, or equivalent senior-level practical experience.

What Sets You Apart (Preferred)

  • Advanced AI/ML: Practical experience integrating AI-powered development tools into workflows or supporting production Data Science use cases.

  • Snow Pro Advanced Certifications: Specifically Architect, Data Engineer, or Data Scientist.

  • Polyglot Programming: Proficiency in Python, Java, or Scala for building data pipelines or applications.

  • DevOps/DataOps Mastery: Experience with CI/CD, data orchestration (Airflow, dbt), and automated testing.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

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About Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

Employees

Zürich

Headquarters

Reviews

3.6

1 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Positive performance reviews and raises

Opportunities to learn new technical skills

Career advancement with promotion

Cons

Role demotion after acquisition

Poor communication regarding promotions

Administrative inefficiencies with title updates

Salary Ranges

3,987 data points

Junior/L3

L3

L4

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

277 reports

$252,858

total / year

Base

$171,306

Stock

$57,741

Bonus

$23,811

$190,229

$354,557

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 88%

Negative 12%

Interview Process

1

Application Review

2

Resume Screening

3

Initial Phone Screen

4

Technical Phone Screen

5

Technical Coding Round

6

Offer Discussion

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR