Data Architect

Data Architect - Detalhes da Vaga. ● This role is architecture-first and advisory in nature, focused on enterprise discovery, data strategy, target architecture definition, governance, and roadmap creation. ● The successful assessment will establish the foundation for a multi-phase enterprise data platform implementation. ●The ideal candidate is an experienced enterprise architect who has successfully led discovery engagements, defined enterprise data strategies, and partnered directly with executive stakeholders to modernize enterprise data ecosystems. ●Key ResponsibilitiesEnterprise Discovery & AssessmentLead the end-to-end enterprise data assessment as the primary technical authority. ●Conduct discovery across operational, financial, ERP, HR, databases, spreadsheets, and collaboration platforms. ●Document current-state data architecture, integrations, ownership, and data quality. ●Identify architectural gaps, risks, and governance opportunities. ●Enterprise Data StrategyPartner with business and technology leaders to identify high-value business domains and KPIs. ●Perform KPI-to-source analysis to map enterprise data requirements. ●Develop enterprise-wide data architecture recommendations aligned with business priorities. ●Architecture & Platform EvaluationDefine conceptual future-state enterprise data architecture. ●Evaluate modern enterprise data platforms including Microsoft Fabric, Azure, Snowflake, and similar technologies. ●Recommend enterprise-wide integration and data-sharing patterns. ●Remain platform agnostic while recommending future architecture. ●Governance & RoadmapDefine foundational governance, ownership, access, and data quality standards. ●Develop executive-ready architecture documentation and implementation roadmaps. ●Recommend staffing strategy and phased implementation plans for enterprise data modernization. ●Required Qualifications10+ years of experience in Data Architecture or Enterprise Information Architecture. ●Experience leading enterprise assessment and discovery engagements. ●Strong knowledge of modern data platforms including data lakes, lakehouses, and cloud data warehouses. ●Experience working across ERP, operational systems, SQL databases, spreadsheets, and enterprise collaboration platforms. ●Strong executive communication and stakeholder management skills. ●Experience defining enterprise data strategy rather than solely implementing technology solutions. ●Proven experience designing enterprise data platforms from the ground up. ●. Requisitos para participar do processo. ● . O que oferecemos.