5 months ago
Bengaluru, IndiaMid Level
Responsibilities
- Run end-to-end technical discovery calls with Heads of Data, Data Engineering Managers, and CTOs across global markets.
- Design and present reference architectures showing how Hevo fits into customers’ existing data stacks.
- Run live, tailored product demonstrations and address unexpected technical questions.
- Own technical evaluations from initial conversation through closed deal by resolving deep technical questions and building customer trust.
- Build proofs of concept by configuring pipelines from source systems such as Salesforce, Outreach, Postgres, and MySQL into destinations such as Snowflake and BigQuery.
- Develop expertise in data integration platforms and cloud-native solutions including AWS Glue, Azure Data Factory, and Google Cloud Dataflow.
- Partner with Account Executives on technical wins and Customer Success on post-sale handoffs.
- Share customer feedback and recurring 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 production data pipelines, including managing schema changes, failures, and reliability issues.
- Strong SQL fundamentals and experience with at least one cloud data warehouse: Snowflake, BigQuery, or Redshift.
- Experience with at least one orchestration or transformation tool, such as Airflow or dbt.
- Exceptional spoken English, communication, presentation, technical narrative, and customer-facing skills.
- Comfort presenting technical material to groups of 5 to 15 people, including senior technical leaders, over video calls.
- Prior experience presenting or demonstrating technical work to an audience in any context.
- Genuine interest in customer-facing work.
- Preferred experience with CDC tools or data integration platforms, including AWS Glue, Azure Data Factory, Google Cloud Dataflow, or third-party tools.
- Preferred exposure to CRMs, advertising platforms, SaaS APIs, and OLTP databases.
- Public technical writing, conference talks, open-source contributions, or prior informal customer or international-team interaction are preferred.
Benefits
- Global exposure through technical conversations with customers across North America, Europe, Southeast Asia, and ANZ.
- Career progression opportunities into senior individual contributor roles, functional leadership, product, customer success leadership, or founding-engineer roles.
- The role is based in Bangalore and involves primarily global customer conversations over video calls.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaAWSAzuredbtGoogle BigQueryGoogle Cloud PlatformMySQLPostgreSQLSnowflakeSQL
Categories
Solutions Engineering
About Hevo Data
Hevo Data builds a fully managed, no-code data pipeline platform for companies to move and integrate data into cloud warehouses like Snowflake, BigQuery, and Redshift. Delivered as SaaS, it provides 150+ connectors and real-time ELT/ETL for consolidating customer and business data. Founded in 2017 and headquartered in San Francisco, it serves 2,000+ customers across 40+ countries, including Shopify, DoorDash, Postman, and ThoughtSpot.