Solutions Architect

Everpure, Inc.
Remote, OR, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$155,000.0 - $205,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Database Cloud Engineering Extract Transform Load (ETL) Data Systems Data Warehousing SQL Databases Snowflake Kubernetes
+2 more
Terraform Data Pipelines

Job description

Everpure, Inc. seeks a Senior Solutions Architect to lead design and delivery of modern data and analytics platforms for MSP clients. You’ll define cloud architectures on AWS/Azure/GCP, shape data models and pipelines, and integrate BI, AI, and governance. Partner with clients to capture requirements, translate them into scalable solutions, and guide implementation teams. Provide technical leadership, reviews, and roadmap guidance while supporting presales and proposals. Everpure offers a collaborative, learning-focused culture with flexible, high-performance teams solving complex data challenges.

Responsibilities

  • Design and own end-to-end cloud data and analytics architectures for MSP clients.
  • Gather and translate business and technical requirements into scalable solution designs.
  • Define data models, ETL/ELT pipelines, and integration patterns across platforms.
  • Select and integrate BI, AI, and analytics tools aligned with client goals.
  • Provide technical leadership, reviews, and guidance to delivery and engineering teams.
  • Collaborate with sales on scoping, proposals, and technical presentations.
  • Establish best practices for security, governance, reliability, and cost optimization.
  • Create architecture artifacts, documentation, and roadmaps for clients.
  • Mentor engineers and consultants, promoting a learning-focused culture.
  • Continuously evaluate new cloud and data technologies for client solutions.

Requirements

  • Cloud architecture (AWS/Azure/GCP)
  • Data warehousing (Snowflake/Redshift/Big
  • Query)
  • SQL and data modeling
  • ETL/ELT and data pipelines
  • Infrastructure as Code (Terraform/Cloud
  • Formation)
  • Kubernetes/containers
  • BI and analytics platforms
  • Solution design and technical presales
  • MSP or managed services delivery
  • Security, governance, and cost optimization

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