Senior Solutions Architect – Data, AI

Job not on LinkedIn

🔥 13 hours ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

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Logo of EX Squared

EX Squared

501 - 1000 employees

Founded 2000

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

EX Squared is a digital product and experience consultancy that helps enterprises move AI and digital initiatives from ambition into production. Since 2001 the firm has delivered strategy, UX/UI and multi-channel digital experiences plus engineering and IT infrastructure work, and specializes in GenAI, machine learning, computer vision, and NLP. EX Squared is a certified Optimizely and Sitecore partner and focuses on building enterprise-scale digital products and advanced AI-driven solutions for large B2B clients.

📋 Description

• Lead end-to-end solution architecture for complex enterprise Data, Analytics, Machine Learning, and AI initiatives • Architect AI-powered analytics solutions combining enterprise data, ML models, AI agents, conversational analytics, and modern user experiences • Design architectures for Generative AI, RAG, natural-language analytics, and agentic AI workflows • Architect ML/AI enablement capabilities, including feature stores, model serving, and MLOps pipelines • Design analytics solutions on modern cloud data platforms, particularly GCP and BigQuery • Establish architecture patterns for semantic layers, dimensional models, governed metrics and KPIs, certified datasets, and self-service analytics • Define how analytics and AI solutions consume enterprise data through governed data products, semantic models, feature stores, APIs, and approved integration patterns • Translate enterprise reference architectures and standards into practical project-level designs and ensure architectural integrity throughout delivery • Partner with Enterprise Architecture, Data Platform, AI, Engineering, Cybersecurity, and Cloud Governance teams • Lead architecture reviews and contribute to ADRs, KDDs, reference architectures, and reusable solution patterns • Define architecture standards for performance, scalability, security, observability, cost efficiency, and operational supportability • Incorporate FinOps, lineage, metadata, data quality, access controls, and security requirements into solution designs • Lead proofs of concept and technology evaluations • Serve as a technical escalation point for complex architecture decisions and design trade-offs • Mentor architects, engineers, analysts, and other technical professionals while maintaining hands-on involvement • Communicate architecture decisions, recommendations, risks, and trade-offs to technical teams and senior stakeholders

🎯 Requirements

• 10+ years of professional experience in Data and Analytics • At least 5+ years architecting enterprise analytics solutions • Experience leading, mentoring, or providing technical direction to architects and senior technical professionals • Deep hands-on expertise designing analytics solutions on modern cloud data platforms, ideally GCP and BigQuery • Strong experience with enterprise BI and analytics technologies such as Looker, LookML, Power BI, Tableau, or comparable platforms • Strong expertise in dimensional modeling, semantic modeling, semantic layers, and governed enterprise metrics • Experience with dbt, feature stores, model serving, and MLOps • Strong understanding of Generative AI, LLMs, RAG, natural-language analytics, and agentic workflows • Experience designing ML/AI solutions using Vertex AI or comparable enterprise cloud AI platforms • Experience operating within formal architecture governance environments, including ADRs/KDDs, architecture review boards, reference architectures, and pattern libraries • Experience integrating analytics solutions with enterprise data platforms through governed interfaces and shared architecture standards • Strong command of performance, scalability, security, observability, FinOps, and operational supportability • Ability to evaluate complex technical alternatives and make sound architecture decisions based on business and technical requirements • Excellent written and verbal communication skills, including the ability to influence senior technical and business stakeholders • Ability to operate as a player-coach while remaining technically hands-on • TOGAF, DAMA CDMP, or equivalent architecture/data management certifications • Industry experience in supply chain, distribution, retail, or food services

🏖️ Benefits

• Competitive compensation • Remote work from Costa Rica • Participation in high-impact enterprise Data, Analytics, Machine Learning, and AI initiatives • Exposure to complex architecture challenges within a large-scale global environment • Hands-on work with modern cloud, analytics, Generative AI, and agentic AI technologies • Collaboration with experienced Architecture, Data, AI, Engineering, Security, and Business professionals • A dynamic environment focused on Data, AI, innovation, and continuous improvement • Opportunities for professional growth and continued learning

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