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Sales Engineer - Hadoop Observability & Open Data Platform

Acceldata· Sales – Sales Engineering
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Remote$200k - $250kFull-timePosted 3mo ago

About the role

Sales Engineer to drive technical engagement for Acceldata solutions (Hadoop Observability & Open Data Platform); acts as technical liaison between customers and sales, delivering demonstrations, technical guidance, and value realization.

Responsibilities

  • Collaborate with Account Teams, Product, and Customer Support to identify value and needs for Acceldata solutions
  • Develop, customise, and conduct technical presentations and product demonstrations
  • Demonstrate proficiency in Hadoop components and related architectures
  • Hands-on experience with at least one of: Apache Spark, Trino, Jupyter and Airflow
  • Identify environments and technical requirements to pursue tailored sales strategies with Enterprise and Strategic Accounts
  • Design and develop solutions tailored to customers' data environments
  • Develop technical proposals and assist with SOWs
  • Lead POCs and present value-oriented results to stakeholders
  • Coordinate with professional services and engineering for technical expertise during engagements
  • Provide internal support to sales, presales, marketing, partner and product teams
  • Educate sales team on technical aspects of data observability solutions
  • Develop and maintain technical documentation (product guides, specifications, knowledge base)
  • Partner with AE’s and sales managers to ensure deal qualification and strong technical fit before significant investment

Qualifications

  • 12+ years of experience in a SaaS and Data Industry Sales Engineering role
  • Bachelor's degree in computer science, engineering, data science, or related field
  • Hands-on experience with AWS, GCP, and/or Azure (CSV)
  • Hands-on experience with cloud platforms (Databricks or Snowflake)
  • Hands-on experience with data observability, data monitoring, data integration, and/or data quality products
  • Strong understanding of data observability trends, challenges, and opportunities
  • Strong understanding of data ecosystem (data warehouses, data lakes, streaming data architectures)
  • Excellent communication and presentation skills for technical and non-technical audiences
  • Ability to listen to customer needs and propose relevant data observability solutions
  • Ability to analyze customer data scenarios and recommend observability strategies
  • Growth mindset and proactive self-starter
  • Ability to work in a fast-paced, dynamic team environment
  • Willingness to travel up to 50%
  • Willingness to do whatever it takes to win

Skills

Required:Hadoop components proficiency (HDFS, Yarn, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper)
Nice to have:Apache SparkTrinoJupyterAirflow
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Acceldata

AI-Native Data Management for the Modern Enterprise

Discover Acceldata, the industry’s first agentic data management platform, revolutionizing data observability, governance, optimization, and AI-driven operations. Enhance data reliability, reduce costs, and maximize efficiency across hybrid environments.

Data ObservabilityData ManagementAI-driven OperationsHybrid Environments
Company profileWebsite

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