Sales Engineer – Hadoop Observability, Open Data Platform

🕒 il y a 2 mois

🦌 Connecticut, District of Columbia, +4 états de plus – Distant

🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🦀 Maryland – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

⏰ Temps Plein

🟠 Senior

🔴 Expert

💸 Ingénieur technico-commercial

👻 Score fantôme 12%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Acceldata

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2018

💼 Conseil

🏥 Santé

🏭 Fabrication

Consulting • Healthcare • Manufacturing

Acceldata est une entreprise de premier plan dans le domaine de l'observabilité des données d'entreprise, fournissant des solutions complètes pour garantir la qualité, la fiabilité et l'efficacité des coûts des données dans les environnements multi-cloud et hybrides. La plateforme d'Acceldata offre une observabilité dans divers aspects des opérations de données, y compris la qualité des données, les pipelines, l'infrastructure, les utilisateurs et les coûts. En s'intégrant de manière transparente aux plateformes cloud, aux entrepôts de données et aux outils BI, Acceldata aide les entreprises à gérer des opérations de données à grande échelle, à améliorer la fiabilité des données et à optimiser les performances. Avec pour objectif d'améliorer la fiabilité et l'efficacité de l'infrastructure de données, Acceldata soutient un large éventail d'industries, dont les services financiers, la fabrication, les biens de consommation emballés, la vente au détail et les sciences de la vie.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• Support from professional services and engineering will be provided as needed for technical expertise, closing gaps, or handling large or long-term engagements and pilots. • Provide internal support to sales, presales, marketing, partner and product teams. This includes marketing content development, demo asset creation, field intelligence, training, subject matter expertise, etc. to drive company success. • Educate the sales team on the technical aspects of data observability solutions, enabling them to effectively communicate product value to customers and prospects. • Assist in the development and maintenance of technical documentation, including product guides, technical specifications, and knowledge base articles, to aid customers and internal stakeholders in understanding and utilizing the data observability solutions.