
Sales Engineer - Hadoop Observability & Open Data Platform
acceldata
Posted 2026-07-01
Sales & Marketing
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