Sales Engineer - Hadoop Observability & Open Data Platform

Jobtailor; Deutschland; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Acceldata is seeking a Senior Sales Engineer to collaborate with cross-functional teams in Germany, shaping technical demonstrations and tailored solutions for data observability. You will engage with prospects and customers, translate complex data architectures into compelling value, and drive POCs to successful outcomes.

Required: 12+ years in SaaS/data industry sales engineering, degree in CS/engineering/data science, and hands-on cloud experience (AWS/GCP/Azure) with Databricks or Snowflake.

Qualifikationen

• Bachelor's degree in computer science, engineering, data science, or related field.

Aufgaben

• Collaborate with Acceldata Account Teams, Product and Customer Support to help prospects, customers and partners identify value and need for Acceldata solutions.
• Develop, customise and conduct technical presentations and product demonstrations addressing customer needs.
• Proficiency in multiple Hadoop components (HDFS, Yarn, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper).
• Hands-on experience with at least one of: Apache Spark, Trino, Jupyter, Airflow.
• Partner with Enterprise and Strategic Accounts to tailor sales strategies and provide technical expertise to close deals.
• Design and develop solutions with customers and draft comprehensive technical proposals and SOWs.
• Lead POC implementations to demonstrate value and present results to stakeholders.

Jobbeschreibung

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.