Solutions Architect

Voltron Data
·
Posted: 
August 21, 2023
·
Remote
Job Commitment
Full-time
Job Commitment
Senior
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Senior
Workplace Type
Remote
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

The Solutions Architect role at Voltron Data involves working closely with Fortune 200 companies to support their data transformation journey. The main responsibilities include designing, implementing, and operationalizing Voltron Data solutions for customers and partners. The role requires ownership of deliverables and collaboration with product, engineering, and sales teams. Voltron Data is a Series A, venture-backed startup focused on building a new foundation for data analytics with Apache Arrow. The company is committed to bridging open source communities and creating a diverse and inclusive workplace. The desired location for this role is the United States, and the salary range is between $195,000 to $240,000.

Responsibilities

  • Work hands-on with Fortune 200 companies on their data transformation journey
  • Design, implement, and operationalize Voltron Data solutions for customers and partners
  • Own deliverables and collaborate with product, engineering, and sales teams
  • Assemble a global team to build a new foundation for data analytics with Apache Arrow
  • Drive open source ecosystems in C++, Python, and R programming ecosystems
  • Create a representative, equitable, and respectful workplace that prioritizes employee growth
  • Have 7+ years of experience in field engineering (pre and post sales)
  • Have experience with Apache Arrow, Apache Hadoop, Apache Spark, SQL, NoSQL, Dask, Pandas, Cloud Storage (S3, ADLS, GCS)
  • Have experience with OSS (Open Source Software)
  • Have experience with distributed systems and HPC environments; Kubernetes and Slurm experience a plus
  • Have experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
  • Have experience migrating or redefining legacy customer workloads to modern analytical pipelines
  • Have high standards in their own work and in their peers
  • Be always curious
  • Lead with modesty
  • See diversity as a strategic advantage
  • Value ground-breaking innovation
  • Desired location: United States

Requirements

  • 7+ years experience in field engineering (pre and post sales)
  • Experience with Apache Arrow, Apache Hadoop, Apache Spark, SQL, NoSQL, Dask, Pandas, Cloud Storage (S3, ADLS, GCS)
  • Experience with OSS (Open Source Software)
  • Experience with distributed systems and HPC environments; Kubernetes and Slurm experience a plus
  • Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
  • Experience migrating or redefining legacy customer workloads to modern analytical pipelines
  • High standards in their own work and in their peers
  • Always curious
  • Leads with modesty
  • Sees diversity as a strategic advantage
  • Values ground-breaking innovation
  • Desired location: United States
  • US Compensation: Salary range between $195,000 to $240,000

Benefits

  • Work from Anywhere - Payroll and Benefits in 150+ Countries
  • Unlimited PTO
  • Medical, Dental, and Vision
  • Retirement [USA Only]
  • Home Office Budget
  • Continuing Education Budget

Job Application Resources

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Voltron Data

Voltron Data develops high-performance data access and in-memory computing tools to improve the existing data analytics ecosystem.
Location
Mountain View, CA
Company Size
51-100
Workplace Type
Industries
Hardware
Software
Data and Analytics
Open Roles
13
Less details
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Voltron Data

Voltron Data develops high-performance data access and in-memory computing tools to improve the existing data analytics ecosystem.
Company Overview

Voltron Data develops high-performance data access and in-memory computing tools to improve the existing data analytics ecosystem.

Benefits
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