Enterprise Architect Data and Analytics

Enterprise Architect – Data & AnalyticsTCS partners with our customers on enterprise data, analytics, and reporting modernization initiatives, including BI platform assessments and migrations from legacy reporting tools to modern tools. The Enterprise Architect (Data & Analytics) provides architectural leadership across data platforms, analytics ecosystems, and enterprise reporting architectures, ensuring alignment with business goals, governance standards, and long-term data strategy.Strong experience in enterprise data and analytics architectureExpertise with BI and reporting platforms (Power BI, Tableau, enterprise reporting ecosystems)Experience defining semantic layer strategy, dataset governance, and analytics consumption patternsUnderstanding of modern data platforms (warehouse/lake/lakehouse) and data pipeline patternsKnowledge of enterprise integration patterns for data ingestion and data product enablementExperience with metadata management and data catalogs (concepts and patterns)Experience with data governance, data quality, lineage, and stewardship modelsAwareness of privacy, security, and regulatory considerations impacting enterprise dataAbility to embed governance-by-design into data architecture recommendationsAbility to translate business analytics needs into architecture designs and roadmapsExperience producing executive-ready architecture artifacts and recommendationsDefine and maintain enterprise data architecture blueprints (sources, flows, transformations, quality, governance, and security)Assess current-state data, analytics, and reporting architectures; identify gaps, risks, and opportunities for modernizationDefine target-state analytics/BI architecture (semantic layer, dataset strategy, reporting ecosystem evolution) and migration pathwaysEstablish and govern enterprise standards for data modeling, metadata, and platform patterns; drive consistency across domainsDrive data governance controls (quality, lineage, access, compliance) and ensure architecture aligns with privacy/security expectationsDefine roadmap recommendations for data platforms and storage approaches balancing performance, cost, and compliancePartner with stakeholders to capture analytics requirements and translate them into architecture decisions and non-functional expectationsEnsure BI modernization programs align to enterprise data standards and governance expectationsProduce executive-ready architecture recommendations and assessment deliverables