Solution Architect – Palantir Foundry (1099)

Logic20/20 Inc.Seattle, WA

About The Position

As a Solution Architect, you will influence and define best practices, design patterns, and architecture. You’ll provide thought leadership to a diverse group of stakeholders, drawing on your extensive experience to design and prototype innovative solutions throughout every stage of the process, mentoring other team members along the way.

Requirements

  • 5-10+ years of experience as a Solutions Architect at a management consulting firm, or in a client-facing role, with proven responsibility for delivering high-impact customer solutions.
  • 5+ years of hands-on experience as a data engineer, designing and developing data pipelines.
  • Strong experience in Palantir Foundry and PySpark.
  • Deep experience in streaming data architecture and integrating data from various sources.
  • Experience creating architectural diagrams, including Sequence Diagrams, Deployment Diagrams, and State Diagrams
  • Knowledge of Identity and Access Management (IAM) principles, including Authentication, Login, SSO, and Active Directory integration.
  • Knowledge of data retention and security best practices.
  • Bachelor’s degree in computer science or related software engineering field, or equivalent practical experience.
  • Availability to work between the hours of 8 am and 5 pm Pacific Time (PT).
  • Ability to travel up to one week per month.

Nice To Haves

  • Experience working in the utilities industry.
  • Experience as an application developer using Java and TypeScript.

Responsibilities

  • Collaborate closely with client stakeholders and internal teams, translating solution design into scalable, production‑ready Palantir Foundry implementations.
  • Design, build, and manage data pipelines in Palantir Foundry to ingest, process, and correlate real‑time data (streaming).
  • Hands-on Palantir solution architect during implementation, owning the on-the-ground architecture and supporting multiple teams during build-out and delivery.
  • Develop data assets and transformation logic using PySpark.
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