Associate Solution Architect

🕒 Julho 8

🇨🇦 Canadá – Remoto

💵 $127.500 - $172.500 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

💻 Engenheiro de Soluções

👻 Score fantasma 5%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Vena Solutions

Vena Solutions

501 - 1000 funcionários

Fundada em 2011

💼 Consultoria

📣 Marketing

📦 Logística

💰 Debt Financing - Vena Solutions em 2025-04

Consulting • Marketing • Logistics

A Vena Solutions é um fornecedor de SaaS que oferece uma plataforma de planejamento e análise financeira (FP&A) nativa do Excel, que auxilia as equipes financeiras com orçamento, previsão, relatórios, consolidação e planejamento de fluxo de caixa e força de trabalho. A plataforma integra-se nativamente com aplicativos do Microsoft 365, sistemas ERP/CRM/HRIS, e inclui um banco de dados OLAP (CubeFLEX) e recursos de IA (Vena Copilot) para acelerar modelagem, colaboração e tomada de decisões para organizações financeiras empresariais.

Descrição

• Partner with Product Management, domain experts, senior architects, and cross-functional stakeholders to support, evolve, and deliver solution architecture for cloud-based SaaS features and capabilities, including proof-of-concept initiatives to explore new enhancements. • Collaborate with Engineering teams to design pragmatic solutions that balance functional requirements with performance, security, scalability, and maintainability throughout the development lifecycle, including technical problem solving and refactoring efforts. • Participate in reviewing engineering designs and implementations to validate alignment with approved solution architecture, standards, and compliance expectations. • Contribute to the creation and maintenance of clear, accurate architecture artifacts and decision records, ensuring solutions are well understood and traceable across stakeholders. • Communicate architectural concepts and changes effectively, supporting engineers through design reviews, working sessions, and knowledge sharing alongside more senior architects. • Participate in architecture governance activities, contributing to the application and adoption of standards, principles, policies, and best practices for the platform. • Help ensure architectural recommendations are well reasoned, consistent, and aligned with platform strategy, compliance requirements, and long-term sustainability. • Stay informed on industry trends, technologies, and architectural practices, actively learning and evaluating how solution patterns, blueprints, and delivery approaches can evolve. • Leverage modern tooling, including AI-assisted research and analysis, to support architectural exploration, informed recommendations, and continuous improvement. • Contribute to a culture of innovation by helping teams experiment responsibly, maintaining architectural quality, platform integrity, and customer trust.

🎯 Requisitos

• 1–3 years of experience contributing to solution architecture, technical design, or complex system design within a software or SaaS environment. • 4+ years in software development or related technical roles, including hands-on work with at least one modern programming language (e.g., Java, C#, JavaScript, or equivalent). • Practical experience with front‑end and back‑end technologies (React, Node.js, Spring, or similar) and distributed systems concepts such as microservices and APIs (REST and GraphQL). • Solid understanding of algorithms, data structures, computational complexity, and the ability to weigh and communicate design trade‑offs. • Exposure to data‑driven systems, with knowledge of data modelling, data management, OLTP, and cloud‑based SaaS application design, including scalability and multi‑tenancy. • Hands‑on experience implementing within Microsoft Azure and AWS cloud platforms using cloud-native patterns with a SaaS application. • Experience using AI‑enabled development tools (e.g., GitHub Copilot, Claude, SpecKit, or similar) for coding, design, analysis, or documentation. • Strong collaboration and communication skills with engineers, product managers, and technical stakeholders. • Self‑motivated, growth‑oriented mindset with a curiosity for learning and problem‑solving, and empathy for customer outcomes. • Interest in AI and openness to exploring AI‑driven solutions for performance enhancement and efficiency.

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