Principal Solutions Architect

🕒 August 27

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Shoals Technologies Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🏭 Manufacturing

📦 Logistics

⚡ Energy

Manufacturing • Logistics • Energy

Shoals Technologies Group is a manufacturer and provider of electrical balance-of-systems (EBOS) solutions that enable large-scale electrification and clean energy deployment. The company designs and delivers factory-assembled, plug-and-play components and systems for utility-scale and commercial solar projects, battery energy storage (BESS), data centers, and OEM solar panel manufacturers, backed by engineering support and U. S. manufacturing. Shoals focuses on reducing on-site labor, improving project timelines and cost-effectiveness, and supporting sustainability through patented, prefabricated electrical solutions.

📋 Description

• Define and maintain the enterprise architecture roadmap for Palantir Foundry, AIP, Ontology, Workshop, and related technologies • Design scalable data architectures supporting enterprise reporting, operational workflows, analytics, and AI-driven business solutions • Lead solution architecture reviews and establish development, integration, security, and governance standards • Architect integrations between ERP, MES, CRM, PLM, quality, supply chain, manufacturing, finance, and other enterprise systems • Design, optimize, and maintain enterprise ontology models • Translate strategic objectives into scalable technical solutions with business stakeholders • Provide technical leadership and mentorship to developers, data engineers, analysts, and project teams • Develop standards for data quality, master data management, governance, and compliance • Evaluate Palantir capabilities and AI technologies for operational improvement and innovation • Support AI-enabled applications using Palantir AIP and advanced analytics • Partner with cybersecurity and infrastructure teams on platform security, reliability, and compliance • Create architecture documentation, data flow diagrams, technical standards, and system roadmaps • Participate in Agile planning, architecture reviews, and enterprise technology governance • Collaborate with executive leadership on enterprise data strategy and digital transformation • Recommend process improvements that increase efficiency, visibility, automation, and business performance • Support platform scalability, optimization, troubleshooting, and long-term roadmap planning

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, Engineering, Information Technology, or equivalent years of professional experience • 8+ years of experience in enterprise architecture, solution architecture, software engineering, data engineering, or enterprise systems leadership • 3+ years of experience designing enterprise data platforms, analytics solutions, or digital transformation initiatives • Experience designing and implementing enterprise system integrations • Strong understanding of enterprise architecture principles, software development lifecycle (SDLC), and cloud-based application design • Demonstrated experience leading complex technology initiatives involving multiple stakeholders and business functions • Excellent communication and stakeholder management skills • Strong analytical thinking, problem-solving, and strategic planning capabilities • Experience with Palantir Foundry, AIP, Ontology, Workshop, Pipeline Builder, Informatica or comparable enterprise data platforms • Expertise in enterprise data architecture, data modeling, and data governance • SQL and experience working with business data, semantic models, or analytics-driven applications • Advanced experience with Python, Java, JavaScript, React, TypeScript, or similar programming languages • Experience designing APIs, integrations, and distributed system architectures • Knowledge of ETL/ELT processes, data engineering principles, and enterprise application architecture • Experience with cloud platforms and modern software development practices • Understanding of AI, machine learning, workflow automation, and predictive analytics solutions • Experience with Git, DevOps practices, and CI/CD pipelines • REST APIs, JSON, integration concepts, and secure application design principles • Strong troubleshooting and solution design abilities