Sales Engineer
US$200,000 – US$250,000 / yr base salary
Posted 1 Jul 2026
Advertised as “Sales Engineer - Hadoop Observability & Open Data Platform”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 12+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
Compensation
| Base salary | US$200,000 – US$250,000 / yr |
|---|
Role speciality
Data ObservabilityHadoop ObservabilityOpen Data Platform
Useful technologies
AirflowApache SparkAWSAzureDatabricksGCPHadoopHbaseHDFSHiveJupyterKafkaKerberosRangerSnowflakeSparkTrinoYarnZookeeper
Required qualifications
Field of studyComputer Science, Data Science, Engineering (or related)
Study levelBachelor's
Position Summary 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.
We’re looking for someone who can:
- 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.
- Develop comprehensive technical proposals & assist with crafting statements of work (SOWs).
- Lead the implementation of POCs to demonstrate the value & functionality of our products in the customer's environment. Analyze results & present value-oriented results to stakeholders.
- Support from professional services and engineering will be provided as needed for technical expertise, closing gaps, or handling large or long-term engagements and pilots.
- Provide internal support to sales, presales, marketing, partner and product teams. This includes marketing content development, demo asset creation, field intelligence, training, subject matter expertise, etc. to drive company success.
- Educate the sales team on the technical aspects of data observability solutions, enabling them to effectively communicate product value to customers and prospects.
- Assist in the development and maintenance of technical documentation, including product guides, technical specifications, and knowledge base articles, to aid customers and internal stakeholders in understanding and utilizing the data observability solutions.