Solution Engineer (Post-sales)

Role overview

Solution Engineer (Post-sales) at Hevo Data

You will be measured on whether enterprise customers trust Hevo at the technical level - and whether that trust translates into deeper, longer, larger relationships.

Responsibilities

• Lead technical discovery and solution design for enterprise customers evaluating new use cases, migrations, or architectural changes involving Hevo.
• Contribute to internal knowledge - documenting patterns, building reference architectures, and raising the technical bar across the post-sales team.
• You will not be measured on ticket volume or response SLAs.

Required qualifications

• What We Are Looking For Required 6+ years of experience in a technical, customer-facing role - Solutions Engineering, Data Engineering, or a technical post-sale or consulting function.

Preferred qualifications and skills

• Nice to Have Experience in a pre-sales or post-sales SE role at a data infrastructure or SaaS company.

Employment details

• Location: Bengaluru [India]

About the employer

• About Hevo DoorDash, Footlocker, Arhaus, Santander, and thousands of other data-driven companies have one thing in common.

Benefits

• We are a San Francisco, Bangalore, and Pune-based company with 2000+ customers spread across 45+ countries in e-commerce, financial technology, and healthcare.

Additional role details

• They all use Hevo Data’s fully managed Automated Pipelines to consolidate their data from multiple sources like Databases, Marketing Applications, Cloud Storage, SDKs, Streaming Services, etc.
• Strongly backed by marquee investors like Sequoia Capital, we have raised $42 Million to date and are looking forward to our next phase of hyper-growth!
• Why do we exist?
• At Hevo, our mission is to enable every company to be data-driven.
• We started on this journey 9 years back, and as the first step in this direction, we built our first product – “Data Pipeline” or simply “Pipeline”.
• Hevo Pipeline is a no-code platform that helps companies connect all their sources of data within the company to get a unified view of their business.
• The platform offers integrations with 150+ data sources such as Databases, SaaS applications, Advertising Channels, etc.
• Today, we enable close to 2000 companies across more than 40+ countries to be more data-driven.
• Our aim is to make the technology so simple that anyone should be able to solve their data problems and not be limited due to their lack of technical skills.
• The Role We are growing into mid-market and enterprise accounts where the technical bar - and the stakes - are higher.
• To win and retain these customers, we are building the technical depth in our post-sale motion to match.
• Enterprise buyers are not just buying a product.
• They are making architectural decisions.
• The CTOs, data architects, and engineering leads we work with at this level need a technical counterpart.
• 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, a strategic expansion decision, or simply when a CTO wants to talk to someone who really knows data.
• What You Will Do 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.
• Translate complex customer requirements into actionable guidance - both for the customer and, where needed, and 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.
• 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.
• Exposure to enterprise data governance, compliance, or security requirements (SOC 2, GDPR, HIPAA).
• Prior experience in a startup or high-growth B2B SaaS environment.
• What You Will Not Be Doing This is not a support role, a ticket-handling role, or a general customer success role.
• What We Offer Competitive compensation and/or equity.
• Direct access to leadership and real influence on how the post-sale function is built.
• A collaborative, high-trust environment where technical depth is valued and rewarded.