
1001 - 5000 employees
Founded 1996
đ Manufacturing
đŚ 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.
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1001 - 5000 employees
Founded 1996
đ Manufacturing
đŚ 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.
⢠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
⢠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
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