Job Description :

As a Solutions Engineer, you will act as a trusted technical advisor to prospective customers in the US market. You will own the technical evaluation journey end-to-end, from the first discovery call to closing the deal, by demonstrating how our platform solves real-world data integration challenges. This role involves working closely with global customers (primarily North America), designing scalable architectures, running tailored product demos, and building proofs-of-concept that showcase value.

Responsibilities :

- Run technical discovery calls with Heads of Data, Data Engineering Managers, and CTOs to understand their stack, pain points, and constraints.

- Design and present reference architectures showing how Hevo fits into their existing data stack (e.g., Salesforce, Postgres, GA4, Snowflake, dbt).

- Run live product demos tailored to the customer's stack.

- Own the technical evaluation from the first conversation to the closed deal.

- Build proofs-of-concept by configuring real pipelines from source systems into destinations like Snowflake or BigQuery.

- Develop deep expertise in the data integration landscape and articulate Hevo's technical advantages.

- Partner with Account Executives to drive technical wins and with Customer Success to ensure smooth handoffs.

- Share customer feedback and patterns with Product and Engineering to influence the roadmap.

Requirements :

- 2 to 4 years of hands-on experience as a Data engineer, Analytics engineer, ETL/ELT developer, or Data warehouse engineer.

- Experience building and operating real data pipelines in production.

- Strong fundamentals in SQL and at least one cloud data warehouse (Snowflake, BigQuery, or Redshift).

- Experience with at least one orchestration or transformation tool (Airflow, dbt, or similar).

- Exceptional communication and presentation skills.

- Genuine interest in customer-facing work.

Good to have :

- Experience with CDC tools or data integration platforms.

- Exposure to multiple source system types such as CRMs, ad platforms, SaaS APIs, and OLTP databases.

- Public technical writing, conference talks, or open-source contributions.

- Prior experience in customer conversations.