About the job

Field Architect - Remote US (East Coast preferred)

A high-growth, cutting-edge software company building a next-generation, patent-based hybrid graph analytics platform. Their technology is used by government agencies and leading global enterprises to tackle complex challenges such as financial crime, fraud, human trafficking, and national security threats.

If you’re motivated by meaningful work and excited about scaling a powerful alternative in the advanced analytics space, this could be a strong fit.

The Role

Looking for an experienced Field Architect to help shape and deliver mission-critical solutions. In this role, you’ll combine deep technical expertise with strong business acumen to design, implement, and communicate high-impact analytical solutions.

Key Responsibilities

• Design innovative, enterprise-scale solutions using advanced graph analytics technologies
• Explore the “art of the possible” by pushing platform capabilities in both pre-sales and delivery phases
• Architect solutions that are both fit-for-purpose and user-friendly
• Act as a technical evangelist, presenting solutions to senior stakeholders
• Design data ingestion, storage, and analytical workflows aligned with business needs and constraints
• Translate strategic objectives into actionable technical deliverables
• Identify risks early and proactively mitigate potential issues
• Lead end-to-end architecture across infrastructure, OS, database, and application layers
• Benchmark solutions against alternative technologies and market offerings
• Drive continuous improvement and establish best practices across projects

Requirements

• 7+ years in analytics, data warehousing, SaaS, AI, or big data environments
• 3+ years in an architect-level role within data/analytics
• Strong expertise in data analysis, data cleaning, and enrichment
• Deep knowledge of Linux (administration, configuration, troubleshooting)
• Experience with network configuration in complex Linux-based systems
• Proficiency in Python and Bash scripting
• Strong understanding of Kubernetes
• Experience with MPP (Massively Parallel Processing) systems
• Experience with graph analytics is a plus
• Startup experience (ideally within early-stage environments) is advantageous