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Sales Engineer - Hadoop Observability & Open Data Platform

1 month ago
United States
Full-time
Lead
Sales Engineer
Data Science and Analytics
Apache Airflow Apache Spark AWS Azure Databricks GCP Hadoop HDFS Hive Jupyter Kafka Snowflake Trino
Apply Now
Acceldata

Acceldata

Acceldata provides Enterprise Data Observability solutions to maximize ROI on data investments, ensuring reliability, eliminating blind spots, and reducing spend. Their platform optimizes AI and analytics workloads for leading companies, decreasing cos...

IT Services
51-250
Founded 2018
$106M raised
View All Jobs 13

Description

  • Collaborate with account, product, customer support, marketing, and partner teams to identify customer needs and solution value.
  • Develop, customize, and deliver technical presentations and product demonstrations.
  • Partner with enterprise and strategic account teams to assess customer environments and technical requirements.
  • Design and develop solutions tailored to customer data environments and business needs.
  • Create technical proposals and support statement of work (SOW) development.
  • Lead proof-of-concept implementations in customer environments and present results to stakeholders.
  • Support sales, presales, marketing, partner, and product teams with internal enablement, demo assets, field intelligence, and subject matter expertise.
  • Educate the sales team on the technical aspects of data observability solutions.
  • Assist in creating and maintaining technical documentation, product guides, specifications, and knowledge base articles.
  • Qualify deals with account executives and sales managers to ensure technical and solution fit before major investment.

Requirements

  • 12+ years of experience in a SaaS and data industry Sales Engineering role.
  • Bachelor's degree in computer science, engineering, data science, or a related field.
  • Hands-on experience with at least one Hadoop component or workflow technology such as HDFS, Yarn, Spark, Hive, HBase, Ranger, Kerberos, Kafka, or Zookeeper.
  • Hands-on experience with at least one of Apache Spark, Trino, Jupyter, or Airflow.
  • Hands-on experience with at least one cloud service provider: AWS, GCP, or Azure.
  • Hands-on experience with cloud data platforms such as Databricks or Snowflake.
  • Hands-on experience with data observability, data monitoring, data integration, or data quality products.
  • Strong understanding of data observability trends, challenges, and opportunities.
  • Strong understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures.
  • Excellent communication and presentation skills for technical and non-technical audiences.
  • Ability to analyze customer data scenarios and recommend suitable observability strategies.
  • Willingness to travel up to 50% to meet with prospects and customers.
  • Growth mindset, self-starter attitude, and ability to thrive in a fast-paced team environment.

Interested in this position?

Apply directly on the company website

Apply Now

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