VAST Data

Solutions Architect - Google Cloud Platform

VAST Data • $150K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in solutions architecture, systems engineering, or technical alliances in cloud/data infrastructure.
  • Deep expertise in cloud architectures, particularly within Google Cloud Platform technologies.
  • Proven experience in strategic cloud alliances, preferably with GCP or AWS.
  • Strong understanding of distributed systems and large-scale data management.
  • Excellent communication skills for engaging with various stakeholders.
  • Ability to excel in a fast-paced and collaborative environment.

Responsibilities

  • Act as technical lead for the VAST-GCP alliance, defining solution architectures and designs.
  • Collaborate with GCP teams to validate integrations and optimize solutions.
  • Create technical assets like deployment guides and reference architectures.
  • Partner with field teams in strategic customer engagements as a trusted advisor.
  • Identify innovation opportunities for AI/ML and data solutions on GCP with VAST.
  • Influence VAST's roadmap based on insights from GCP partnerships.
  • Deliver technical training for GCP and VAST go-to-market teams.
  • Represent VAST at joint events and executive briefings.

Benefits

  • Opportunity to work at a rapidly growing infrastructure company.
  • Be part of a transformative organization focused on AI and data management.
  • Collaborate with top-tier partners like Google Cloud Platform.
  • Contribute to meaningful innovations in data solutions.
  • Engage in a culture that emphasizes customer-first mentality and innovation.
Full Job Description
Description

The Role:

We are seeking a Solutions Architect to drive VAST Data's strategic technical alliance with Google Cloud Platform. This individual will serve as the technical thought leader and trusted advisor, working closely with GCP product, engineering, and field teams to design, validate, and deliver joint solutions that bring the best of VAST + GCP to customers worldwide.

You will bridge the gap between business strategy and technical execution-enabling joint solutions, validating architectures for AI/ML, HPC, and enterprise workloads, and ensuring field readiness across both organizations.

Responsibilities

  • Act as the technical lead for the VAST-GCP alliance, defining solution architectures and reference designs.
  • Collaborate with GCP engineering, product management, and solution architects to validate integrations and optimize joint offerings.
  • Drive solution enablement by creating technical assets such as deployment guides, whitepapers, and reference architectures.
  • Partner with VAST and GCP field teams in strategic customer engagements, serving as a trusted solution advisor.
  • Identify opportunities to innovate joint AI/ML, HPC, and enterprise data solutions on GCP with VAST's platform.
  • Influence VAST's product roadmap with insights from GCP partnership initiatives and customer requirements.
  • Deliver technical enablement and training sessions to GCP and VAST go-to-market teams.
  • Represent VAST at joint events, webinars, and executive briefings with Google.

Requirements

  • 7+ years in solutions architecture, systems engineering, or technical alliance roles in the cloud and/or data infrastructure space.
  • Deep technical expertise in cloud architectures, data platforms, and AI/ML/HPC ecosystems-with a strong emphasis on Google Cloud Platform technologies.
  • Proven experience working in or with strategic cloud alliances (preferably GCP, AWS, or GCP).
  • Strong understanding of distributed systems, storage, and large-scale data management.
  • Excellent communication skills with the ability to engage executives, field teams, and customers alike.
  • Ability to thrive in a fast-paced, cross-functional environment.

About VAST Data

VAST Data is a data storage company that provides an all-flash storage platform for big data and artificial intelligence workloads. The platform enables businesses to store and analyze large amounts of data in real-time, and provides high performance and scalability. VAST Data was founded in 2016 and is headquartered in New York City.
Learn more about VAST Data
Size
50 employees
Industry
Founded
2016

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