Senior Pre-Sales Solution Architect
About The Position
This is a seller-doer role where the individual will own the technical sale and then assist in delivering the sold work. The position involves translating business problems into scoped solutions across Data Platform Modernization, AI and ML Implementation, Analytics and BI, and Data Strategy. Responsibilities include leading discovery, shaping architecture, building proposals, and carrying the technical narrative to win deals. Post-sale, the role involves setting technical direction, guiding the delivery team through initial phases, and serving as the client's trusted architect. The role requires working directly with CTOs, VPs of Engineering, and CDOs, and collaborating with practice leads and senior engineers. This position reports into leadership and works closely with both sales and delivery organizations. Unlike traditional sales engineer or solution architect roles, this position fuses technical sales with a hands-on building mandate, designing end-to-end architectures across multiple vendors and cloud platforms (Snowflake, Databricks, AWS, GCP, Azure), carrying a sales quota, and contributing production-grade code to client engagements.
Requirements
- Deep technical background with proven, hands-on experience in data engineering, ML, cloud data platforms, or analytics, with real production systems shipped.
- Track record in a seller-doer, pre-sales solution architect, or consulting delivery lead role, having carried a number and delivered the work.
- Hands-on, production depth on Databricks (Lakehouse, Delta Lake, Unity Catalog, MLflow, Spark).
- Working knowledge of Snowflake and at least one cloud (AWS, GCP, or Azure).
- Working knowledge of modern data tooling (dbt, Airflow, Python, SQL).
- Ability to lead a discovery call with a CTO and a whiteboard session with engineers, being credible in both settings.
- Experience scoping engagements, writing proposals or SOWs, and presenting solutions that win.
- Builder mentality: clear communication, ownership of outcomes end to end, thriving in ambiguous, client-facing situations.
Nice To Haves
- Consulting or agency background with client-embedded delivery.
- Current certifications on Snowflake, Databricks, AWS, GCP, or Azure.
- Experience taking GenAI or ML use cases from concept to production.
- Prior success growing a single project into a multi-workstream account.
- Depth in one or more verticals such as fintech, healthcare, retail, or SaaS.
Responsibilities
- Lead technical discovery with prospects to uncover problems and qualify fit.
- Translate client needs into reference architectures, solution approaches, and phased delivery plans on Snowflake, Databricks, AWS, GCP, and Azure.
- Partner with sales to build proposals and Statements of Work, scope team composition and timelines, and present the technical case to stakeholders.
- Carry a sales quota and drive pipeline alongside the sales team.
- Defend the company's builder-led approach against competitors with credible, technical answers.
- Set the technical direction for engagements sold and guide the delivery team through architecture decisions and initial phases.
- Write and review production-grade code where it matters, leading by shipping.
- Contribute to billable, hands-on client work to meet delivery or utilization targets.
- Stay close to won accounts to surface new opportunities and grow engagements.
- Uphold delivery standards for code review, testing, documentation, and clean handoff.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- 401(k) with company matching
- All conference, event, client visit, and per diem expenses covered
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
