# Sales Engineer - Hadoop Observability & Open Data Platform at Acceldata

- Company: Acceldata
- What the company does: Acceldata's platform runs data workloads & AI agents where data lives — observability, governance, & runtime control built in across hybrid clouds. Backed by Insight and Lightspeed.
- Company website: https://www.acceldata.io/
- Type: Startups
- Level: Mid level
- Location: United States
- Work setup: Remote
- Pay: $200K to $250K base salary per year (USD)
- Posted: 2026-07-01
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/acceldata/2cd162fc-a490-4b9d-8ee4-0294a6738d34
- Page: https://www.1752.vc/careers/jobs/acceldata-sales-engineer-hadoop-observability-and-open-data-platform/

## About the role

Acceldata is seeking a dynamic and results-oriented Sales Engineer to join our high-performing team. As a Sales Engineer, you will play a crucial role in driving the success of our Acceldata solutions ( Hadoop Observability & Open Data Platform ). You will be the technical expert and a key liaison between our customers and the sales team, demonstrating the value and capabilities of our products to address customer challenges effectively.

## What they're looking for

- Collaborate with Acceldata Account Teams, Product, and Customer Support teams to help prospects, customers, and partners identify the value and need for Acceldata solutions
- Develop, customise, and conduct technical presentations and product demonstrations to prospective customers, showcasing our solutions and how they address specific customer needs and challenges
- Proficiency in multiple Hadoop components (HDFS, Yarn, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper, etc.) & their working architecture, usage & workflow
- Hands-on experience with at least one of the following: Apache Spark, Trino, Jupyter and Airflow
- Partner with the Enterprise and Strategic Accounts teams to identify prospects’ environments and technical requirements to pursue tailored sales strategies, providing technical expertise to help close deals effectively
- Work closely with customers to design and develop solutions tailored to their data environments and technical requirements

Tags: Sales Engineering