About the role
As a Solution Engineer, you are that person. You are not the first point of contact, and you are not handling tickets. You are the expert our account managers bring in when a customer conversation goes beyond relationship management, a quarterly architecture review, a complex integration challenge, or a strategic expansion decision or simply when a CTO wants to talk to someone who really knows data.
Responsibilities:
- Be the senior technical specialist that account managers call on for complex customer conversations - architecture reviews, expansion discussions, and senior-level technical engagements.
- Engage credibly with CTOs, senior engineers, and data architects as a genuine thought partner: understand their architecture, challenge assumptions, co-design pipelines, and offer a credible point of view.
- Lead technical discovery and solution design for enterprise customers evaluating new use cases, migrations, or architectural changes involving Hevo.
- Translate complex customer requirements into actionable guidance both for the customer and, where needed, for Hevo's internal engineering team.
- Build and maintain deep expertise in the modern data stack: cloud data warehouses, orchestration, transformation, and the broader ecosystem Hevo operates within.
- Identify expansion opportunities through technical engagement and hand them off to the AM with enough context to move the conversation forward commercially.
- Contribute to internal knowledge - documenting patterns, building reference architectures, and raising the technical bar across the post-sales team.
Requirements:
- 6+ years of experience in a technical, customer-facing role, solutions engineering, data engineering, or a technical post-sale or consulting function.
- Deep, broad knowledge of data engineering: ETL/ELT pipelines, cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks), orchestration, and the modern data stack.
- Hands-on experience with data integration tools, CDC, event streaming, or warehouse-native transformation (dbt, etc. ).
- Demonstrable ability to engage at the architectural level - not just explain a product, but understand and speak to a customer's data infrastructure.
- Strong communication skills: you can make complex technical ideas clear to both engineers and executives, and you are confident pushing back when a customer's approach is suboptimal.
- Comfort working in an ambiguous, fast-moving environment with a small team and high autonomy.
Nice to Have:
- Experience in a pre-sales or post-sales SE role at a data infrastructure or SaaS company.
- Exposure to enterprise data governance, compliance, or security requirements (SOC 2 GDPR, HIPAA).
- Prior experience in a startup or high-growth B2B SaaS environment.