Data Principal Technical Consultant

🕒 Setembro 25

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $230.000 - $275.000 / ano

⏰ Tempo Integral

🔴 Especialista

💼 Consultor

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AHEAD

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

🤖 Inteligência Artificial

🏢 Corporativo

💰 $5.697.750 Venture Round - AHEAD em 2024-05

Consulting • Artificial Intelligence • Enterprise

Thinkahead é uma empresa de psicologia de capital privado que atua tanto no campo clínico (atendimento particular) quanto no espaço corporativo de consultoria.

Descrição

• Serve as the senior technical leader across complex client engagements, providing architectural direction and technical oversight throughout the delivery lifecycle • Partner with the Principal Consultant and Project Manager to align technical execution with business objectives, delivery plans, and client expectations • Establish technical strategy, solution architecture, integration approaches, implementation standards, and engineering best practices • Review and approve technical designs, architectures, code quality, data models, integrations, and engineering deliverables • Guide engineering teams through complex technical challenges across multiple workstreams • Identify technical risks, architectural concerns, performance issues, and implementation challenges and develop mitigation strategies • Act as the primary technical escalation point for delivery teams and critical client situations • Ensure solutions are scalable, secure, maintainable, operationally supportable, and aligned with enterprise architecture standards • Lead technical workshops, architecture reviews, design sessions, proof-of-concept efforts, and executive technical presentations • Partner with Client Directors, Principal Consultants, and Solution Architects during discovery, assessments, and solution development • Develop solution architectures, technical approaches, estimates, implementation strategies, and technical proposals • Identify opportunities to expand client engagements through additional capabilities, modern architectures, and emerging technologies • Drive technical standards, reference architectures, engineering frameworks, reusable accelerators, and delivery best practices • Serve as a recognized technical leader across modern data platforms, cloud technologies, AI, governance, and analytics • Mentor and coach Technical Consultants, Senior Technical Consultants, and Solution Architects • Support recruiting, interviewing, onboarding, certification planning, technical enablement, and capability development • Lead innovation initiatives and contribute to technical thought leadership across the Data Practice • Promote engineering excellence, collaboration, knowledge sharing, and continuous improvement

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Data Science, or a related technical discipline • Typically 12–15+ years of experience designing and delivering enterprise data, analytics, AI, cloud, or digital transformation solutions • Minimum seven years of consulting or professional services experience leading technical delivery for complex enterprise engagements • Demonstrated success as a Technical Lead, Solution Architect, Principal Architect, or senior engineering leader on large-scale transformation initiatives • Deep expertise in modern data platforms, cloud ecosystems, data engineering, enterprise architecture, AI, analytics, governance, integration, and distributed systems • Experience leading architecture reviews, technical governance, engineering standards, and enterprise solution design • Strong communication, facilitation, consulting, mentoring, and stakeholder management skills, with the ability to influence executive and technical audiences • Master’s degree in Computer Science, Engineering, or a related technical field preferred • Professional certifications in Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud Platform, Kubernetes, or other enterprise technologies preferred • Experience leading enterprise modernization, AI adoption, cloud migration, data platform transformation, or enterprise architecture initiatives preferred • Experience developing technical offerings, reference architectures, engineering frameworks, reusable IP, or practice enablement assets preferred

🏖️ Benefícios

• Medical, Dental, and Vision Insurance • 401(k) • Paid company holidays • Paid time off • Paid parental and caregiver leave • Cross-department training and development • Sponsored certifications and credentials for continued learning • Multi-million-dollar technology lab • Diversity and inclusion groups and initiatives

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