Ovii Job Board

Sales Engineer - Hadoop Observability & Open Data Platform

acceldata

United States, United States • Remote - United States, United States • Full-Time • 12+ years

Posted 2026-07-01 Sales & Marketing

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Job Description

Ovii's Interpretation of the Role

Acceldata seeks a senior Sales Engineer to own technical pre‑sales activities for its Hadoop Observability & Open Data Platform. You’ll translate complex data‑engineer concepts into compelling demos, proposals, and proofs‑of‑concept for enterprise customers, while partnering with sales, product, and support teams.

Role Snapshot

  • Senior Sales Engineer (12+ yr exp)
  • Remote, full‑time
  • Technical pre‑sales & solution design
  • Enterprise & strategic account focus
  • Hands‑on Hadoop & cloud data platforms

Must-Have Requirements

  • Hadoop ecosystem (HDFS, YARN, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper)
  • Hands‑on experience with at least one of: Apache Spark, Trino, Jupyter, Airflow
  • Hands‑on experience with at least one cloud platform: AWS, GCP, Azure, Databricks, Snowflake
  • Data observability, monitoring, integration, or quality product experience
  • Strong technical presentation and communication abilities
  • SaaS sales engineering
  • Data industry
  • Bachelor's degree in computer science, engineering, data science, or related field

Work Setup

  • Location: United States, United States
  • Work mode: REMOTE
  • Remote scope: UNSPECIFIED
  • Travel: Up to 50% travel
  • Employment type: Full-Time

Not Specified in JD

  • Salary range
  • Visa sponsorship
  • Relocation
  • Security clearance
  • Background check

What You'll Likely Work On

  • Collaborate with account, product, and support teams to uncover customer data challenges
  • Create and deliver customized technical demos and presentations of the Hadoop observability platform
  • Design tailored data‑engineer solutions and technical proposals, including statements of work
  • Lead proof‑of‑concept implementations and analyze results for stakeholder review
  • Partner with enterprise and strategic accounts to qualify deals and ensure technical fit
  • Develop internal sales enablement assets such as demo content, field intelligence, and training material
  • Support customers with solution architecture, documentation, and post‑sale technical guidance

Good Fit If You Have

  • Proactive self‑starter with a growth‑mindset
  • Ability to translate technical concepts for both technical and non‑technical audiences
  • Comfortable with up to 50% travel to meet prospects and customers

Skills

  • Hadoop ecosystem (HDFS, YARN, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper)
  • Data processing/orchestration tools (Spark, Trino, Jupyter, Airflow)
  • Cloud data platforms (AWS, GCP, Azure, Databricks, Snowflake)
  • Data observability, monitoring, integration, quality
  • Technical presentation & communication