
Senior Solutions Architect I, Pre-Sales - US Government Defense & Intelligence
About this role
Planet is hiring a Senior Solutions Architect I, Pre-Sales - US Government Defense & Intelligence in Arlington, Virginia, to design complex technical solutions for the defense sector. This full-time hybrid position is well-suited for a professional with deep technical expertise in geospatial systems and the US defense and intelligence community.
Role Overview
The Senior Solutions Architect acts as a primary technical advisor for the US Government Defense and Intelligence sector. The professional works from the Arlington, Virginia office three days per week and travels up to 25%. Responsibilities include bridging customer challenges with the company's satellite data platform and cloud-based architecture.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Planet designs, builds, and operates a large constellation of imaging satellites that delivers empirical data via a cloud-based platform. The organization serves commercial, environmental, and humanitarian sectors globally, with office locations in several international countries and remote workers worldwide.
How to Apply
Interested candidates should submit their application directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location and work arrangement for this role?
This is a full-time, hybrid role requiring work from the Arlington, VA office three days per week, with up to 25% travel required.
What security clearance is needed for this position?
Candidates must be able to obtain and maintain a US Government TS/SCI security clearance.
What is the salary range for the Senior Solutions Architect role?
The US national base salary range is $118,170 to $147,690 USD, with potential eligibility for discretionary bonuses and equity.
What technical skills and tools are expected?
Applicants should have experience with Python, QGIS, SocetGXP, ArcGIS, GDAL, geospatial data processing, APIs, data pipelines, and familiarity with AI/ML.
How many years of experience are required?
The role requires six or more years of experience supporting the US Defense and Intelligence community in a technical capacity.