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Role Overview
Squadron Data is seeking a Solutions Engineering Director to lead technical sales engagements and partner closely with enterprise customers to design and deliver modern data architectures on Snowflake.
This role sits at the intersection of technical leadership and business impact. You will work alongside Account Executives to navigate complex sales cycles, engage with senior stakeholders, and position Snowflake as the foundation for data, AI, and analytics transformation.
The ideal candidate brings deep hands-on experience in data platforms (especially Snowflake), a strong background in technical leadership roles, and the ability to translate complex architectures into compelling business value for executive audiences.
Key Responsibilities
Lead technical sales strategy and execution across strategic accounts, partnering closely with Sales and executive leadership
Engage with customer architects, engineering teams, and business stakeholders to design scalable Snowflake-based data architectures
Drive complex technical discussions that clearly articulate the value of Snowflake across the full sales lifecycle
Build and present reference architectures, solution designs, and demo applications aligned to customer use cases
Support and lead enterprise Proof of Concepts (POCs) to validate Snowflake for real-world workloads
Capture the technical win by guiding customers through data engineering, analytics, and AI/ML solution design
Establish trusted advisor relationships with customer technical and business leaders
Contribute to account planning and growth strategy to expand platform adoption and usage
Represent customer needs internally and collaborate with product, engineering, and leadership teams
Act as a thought leader by promoting Snowflake capabilities through customer engagements, industry events, and internal initiatives
The Impact You Will Have
Drive adoption of the Snowflake AI Data Cloud as the standard enterprise data platform
Accelerate deal cycles by translating complex architectures into clear, outcome-driven solutions that resonate with both technical and executive stakeholders
Enable customers to modernize legacy data environments and unlock AI-driven use cases
Influence strategic decisions by effectively engaging C-level leaders while also going deep with architects and engineering teams
Act as a trusted advisor who can sell ideas, not just solutions, shaping how customers think about data, AI, and platform strategy
Balance hands-on technical depth with strategic thinking—comfortable moving from whiteboard discussions to executive presentations
Simplify complex problems into actionable, scalable solutions that drive measurable business outcomes
Thrive in fast-paced environments with a high degree of ownership, curiosity, and accountability
Preferred Qualifications
8+ years of experience in data platforms, analytics, or cloud technologies
3+ years in a pre-sales or technical sales leadership role
Strong hands-on expertise with Snowflake (architecture, performance, ecosystem)
Deep understanding of modern data architectures (Data Lake, Data Warehouse, Data Mesh, Medallion architecture)
Experience with SQL, Python, and data engineering pipelines
Proven ability to engage and influence C-level and senior executives
Strong communication skills with the ability to bridge business and technical conversations
Background in consulting or solution architecture is highly preferred
Work arrangement
Yes
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