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DoorDash, Footlocker, Arhaus, Santander, and thousands of other data-driven companies have one thing in common. 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.
We are a San Francisco, Bangalore, and Pune-based company with 2000+ customers spread across 45+ countries in e-commerce, financial technology, and healthcare. 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!
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.
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.
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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.
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.
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.
This is not a support role, a ticket-handling role, or a general customer success role. You will not be measured on ticket volume or response SLAs. You will be measured on whether enterprise customers trust Hevo at the technical level - and whether that trust translates into deeper, longer, larger relationships.
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Full-time
Senior · 6+ years experience
Onsite
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