Sr Systems Engineer, Data Platform - Federal

USA, US

VAST Data

The world’s first data computing platform designed to serve as the foundation for AI-automated discovery.

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Description

VAST Data is looking for a Sr Systems Engineer, Data Platform - Federal to join our growing team!


This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.


"VAST's data management vision is the future of the market." - Forbes


VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.


Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.



Overview:


We are seeking an experienced Sr Systems Engineer with a focus on Federal accounts and minimum of 5 years SE experience, particularly within the data analytics industry. The ideal candidate will be responsible for driving sales of VAST Data's groundbreaking data platform product. This role requires exceptional technical expertise, evangelism skills, deep understanding of the database industry landscape, and a proven track record of exceeding sales targets.


  • Assist customers with evaluations and benchmarks, system configurations, and system installations.
  • Work closely with VAST R&D Engineering in helping to define product requirements and usability, including the creation of product specification documents.
  • Participate in the creation of sales strategy and tactics and takes ownership of technical responsibilities within customer accounts.
  • Demonstrate technical leadership and subject matter expertise on analytics tools and workloads such as Spark and Kafka. 
  • Creation of architecture “blueprints” for repeatable solutions that the Sales team will deliver to the customer community.
  • Help with the development of a dispersed group of system and field engineers.
  • Assist with the recruiting and hiring and development of the Sales and Sales Engineering team.
  • Consult on how to form and build and manage a Support organization.


REQUIREMENTS


  • 5+ years of experience supporting the sales of enterprise analytics to large data intensive organizations
  • Positive energy, optimism and vision.
  • Ability to perform in an unstructured environment.
  • Understanding of classic unstructured and structured analytics principles.
  • Preparation and/or delivery of technical product and architecture presentations to customers and trainees.
  • Knowledge of virtualization, high-performance networking and enterprise security.
  • Excellent verbal and written communication skills


Requirements

None
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Data analysis Data Analytics Data management Engineering Kafka ML infrastructure R R&D Security Spark

Perks/benefits: Startup environment

Region: North America
Country: United States

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