Experteer Overview
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As an Enterprise Data Architect, you will lead data architecture within large-scale transformations, shaping enterprise data platforms and modernization efforts. You work with senior client executives to define strategies, drive data-led transformation, and deliver secure, scalable architectures. You’ll mentor teams, contribute to thought leadership, and collaborate across practices to bring optimal data capabilities to clients. This role combines strategic advisory with hands-on architecture leadership to enable AI-enabled, data-driven outcomes.
Compensaciones / Beneficios
• Lead high-impact data architecture workstreams in large-scale transformations
• Architect scalable, secure enterprise data platforms across clients
• Define strategies for a modern Data Office in complex organizations
• Establish executive credibility and act as trusted advisor on data strategy and roadmaps
• Lead teams of architects and consultants to deliver data platforms aligned to business objectives
• Produce as-is/to-be architecture and migration options
• Co-create proactive go-to-market PoVs for client consideration and account expansion
• Mentor junior team members and contribute to the data architecture community
• Collaborate with leaders of other Vector guilds to optimize client outcomes
• Lead recruiting and onboarding of engineering talent; travel up to 50% as required
• Review and validate data proposals, provide delivery assurance
• Drive thought leadership and client case contributions
• Support cross-region and multi-office collaboration in complex programs
• Create a great working environment to attract top architects
Responsabilidades
• 15 years of experience in Data architecture, including large-scale transformations
• Deep data architecture expertise across multiple industries
• Understanding of AI enablement within data delivery (data engineering, feature engineering, MLOps)
• Strong client leadership and business development, xpzdshu including pre-sales and proposals
• Experience leading complex data architectures and transformations
• Familiarity with TOGAF, DMBoK and enterprise integration practices
• Hands-on experience with modern data stack (e.g., Snowflake, MS Fabric, cloud data platforms)
• End-to-end lifecycle experience in multiyear data transformations
• Thought leadership in data modernization and AI adoption
• Strong communication skills to explain technical concepts to diverse stakeholders
• Curiosity, proactivity, and critical thinking
• Ability to collaborate across regions and work independently in fast-paced environments
Requisitos principales
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