Sales Engineer - Hadoop Observability & Open Data Platform

Responsibilities

• 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.

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 of the following CSVs: AWS, GCP, and/or Azure.
• Hands‑on experience with cloud platforms, including 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, & opportunities in the industry.
• Strong understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures.
• Excellent communication and presentation skills to effectively convey complex technical concepts to both technical and non‑technical audiences.
• Ability to listen to customer needs, understand their pain points, and propose relevant data observability solutions.
• Ability to analyze customer data scenarios & recommend suitable observability strategies.
• “Growth mindset” – learn from mistakes, stay positive, find a path to win, look to the future, learn from the past.
• Proactive self‑starter with inherent motivation to meet and exceed performance goals.
• Ability to work in a fast‑paced and dynamic team environment.
• Travel up to 50% meeting with qualified prospects as well as customers.
• Willingness to do “whatever it takes” to WIN.

Core Competencies

Demonstrates expertise in SaaS and Data Industry Sales Engineering, with a strong focus on data observability, technical presentations, and tailored solution development. Proficient in multiple Hadoop components and cloud platforms, effectively addressing customer needs and driving successful implementations.