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Solution Engineer - Data Platform
Hevo Data
Bengaluru, UAE
Full Time
Mid
4 weeks ago
SQLSnowflakeBigQueryRedshiftAirflowdbt
Free
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SQLSnowflakeBigQuery
About the Role
Hevo Data is looking for a Solution Engineer to work with senior data leaders globally, designing data architectures and earning technical trust. The role requires 2-4 years of data engineering experience, strong SQL and cloud warehouse skills, and exceptional communication.
Key Skills for This Role
SQLSnowflakeBigQueryRedshiftAirflowdbt
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
- Run live product demos tailored to the customer’s stack
- Own the technical evaluation from first conversation to 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 for 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
Full Job Posting
About the role
- This role is a strong fit for data engineers with 2 to 4 years of experience who want to take their technical depth into a customer facing role.
- In this role, you will work directly with Heads of Data, Data Engineering Managers, and CTOs at companies evaluating Hevo across the US, Europe, Southeast Asia, and ANZ.
- You will help them design the right data architecture, walk them through trade offs, and earn the technical trust that turns an evaluation into a partnership.
What you will do
- 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 first conversation to closed deal by addressing deep technical questions and earning trust with engineering teams.
- Build proofs of concept by configuring real pipelines from source systems (Salesforce, Outreach, Postgres, MySQL) into destinations like Snowflake or BigQuery.
- Develop deep expertise in the data integration landscape, including native solutions from AWS, GCP, and Azure as well as other data pipeline and integration platforms.
- Partner with Account Executives to drive technical wins, and with Customer Success to ensure smooth handoffs after a deal closes.
- Share customer feedback and patterns with Product and Engineering to influence the roadmap.
Must haves
- 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, including handling source schema changes, failures, and reliability issues.
- 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, even if you have not done it formally before.
Good to have
- Experience with CDC tools or data integration platforms, whether cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) or third party pipeline and integration tools.
- 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, even informally.
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