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OnsiteMid Leveldata infra

Solution Engineer - Data Platform

Hevo DataBengaluru, Maharashtra, IndiaPosted 16 May 2026

Hevo Data is seeking a Solution Engineer to bridge technical data expertise with customer-facing strategy. The role involves designing data architectures, running technical discovery, and demonstrating product value to Heads of Data and CTOs globally. You will leverage your experience with SQL, dbt, Airflow, and cloud warehouses to solve complex pipeline challenges for a wide range of customers. This position offers high-level exposure to technical leaders and acts as a springboard for senior individual contributor or product leadership roles.

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Experience

2-4 years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Hevo Data is seeking a Solution Engineer to bridge technical data expertise with customer-facing strategy. The role involves designing data architectures, running technical discovery, and demonstrating product value to Heads of Data and CTOs globally. You will leverage your experience with SQL, dbt, Airflow, and cloud warehouses to solve complex pipeline challenges for a wide range of customers. This position offers high-level exposure to technical leaders and acts as a springboard for senior individual contributor or product leadership roles.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Strong mid-stage startup with a clear, well-scoped customer-facing engineering role that offers high-impact exposure to global technical leaders.

The role is clearly defined with specific responsibilities, target audience, and necessary technical stack, leaving no ambiguity about the daily function.

Salaries at Hevo Data

32.7 LPA average

Based on 7 Grapevine salary entries for Hevo Data.

View all salaries

Design

2 - 4 years | L2

29 LPA average

Range: 29 - 29 LPA

Other roles

2 - 4 years | L2

17 LPA average

Range: 12 - 23 LPA

Other roles

4 - 6 years

40 LPA average

Range: 40 - 40 LPA

Other roles

6 - 8 years

37 LPA average

Range: 35 - 40 LPA

Must haves

  • 2 to 4 years experience as data or analytics engineer
  • Experience building and operating production data pipelines
  • Strong SQL fundamentals
  • Experience with Snowflake, BigQuery, or Redshift
  • Experience with Airflow or dbt
  • Exceptional communication and presentation skills

Tools and skills

sqlsnowflakebigqueryredshiftairflowdbt

Nice to have: cdc, aws glue, azure data factory, google cloud dataflow.

About the company

Series B funded company with a recognized product in the data infra space, but below the elite status of global tier-1 firms.