Solution Architect
Data ArchitectHCLTech is seeking a highly experienced and strategic Data Architect to lead enterprise-scale data transformation and modernization initiatives. The role will be responsible for defining data strategy, designing modern cloud-native data platforms, establishing governance frameworks, and enabling enterprise adoption of Data, Analytics, AI, and GenAI capabilities across customer organizations. The ideal candidate will possess deep expertise in enterprise architecture, cloud data ecosystems, data governance, analytics platforms, and stakeholder management, with proven experience leading large transformation programs and influencing executive-level decisions.Key ResponsibilitiesEnterprise Data StrategyDefine enterprise-wide data strategy aligned with business objectives.Develop target-state data architecture and transformation roadmaps.Drive modernization of legacy data platforms to cloud-native architectures.Establish architecture principles, standards, guidelines, and reference architectures.Translate business vision into scalable data and analytics capabilities.Data Architecture LeadershipDesign enterprise-scale Data Lake, Data Warehouse, Lakehouse, Data Fabric, and Data Mesh architectures.Establish conceptual, logical, and physical data models across business domains.Architect scalable and resilient batch, streaming, and real-time data platforms.Lead architecture reviews, design governance, and technical solution approvals.Ensure interoperability across enterprise applications, data sources, and platforms.Cloud & Emerging TechnologiesLead architecture initiatives leveraging platforms such as: Microsoft Azure, AWS, Google Cloud Platform, Snowflake, Databricks, Microsoft Fabric, Synapse Analytics.Drive innovation through: AI/ML Enablement, GenAI Foundations, LLM, Data Readiness, Intelligent Analytics Platforms, Data Product Architecture.Data Governance & SecurityDefine enterprise data governance framework.Establish metadata management, lineage, cataloging, and stewardship practices.Ensure compliance with regulatory requirements and security standards.Implement data quality and master data management frameworks.Drive adoption of privacy-by-design and secure data architecture principles.Stakeholder & Client ManagementEngage with CXOs, business stakeholders, enterprise architects, and delivery leadership.Act as trusted advisor for strategic data transformation programs.Conduct architecture workshops, assessments, and executive presentations.Support solutioning, presales, and large deal pursuits.Drive technology consulting engagements and modernization programs.Delivery GovernanceProvide technical governance across multiple customer engagements.Review architecture deliverables and ensure adherence to standards.Mentor architects, leads, and engineering teams.Contribute to reusable assets, accelerators, and best practices.Drive successful execution of strategic transformation programs.Skill RequirementsArchitecture & DesignEnterprise Data ArchitectureData Modeling (Conceptual, Logical, Physical)Dimensional ModelingData Vault ModelingCanonical Data ModelsDomain-Driven Data DesignData PlatformsData LakesData WarehousesLakehouse ArchitectureData FabricData MeshEnterprise Data IntegrationCloud PlatformsAzure Data PlatformMicrosoft FabricAWS Analytics ServicesGoogle Cloud Data ServicesSnowflakeDatabricksData EngineeringETL / ELT FrameworksReal-Time Streaming PlatformsApache SparkKafkaSQL Data PipelinesDataOpsGovernance & SecurityData GovernanceData Quality FrameworksMaster Data ManagementMetadata ManagementData CatalogingData LineageGDPR / Regulatory ComplianceOther RequirementsPreferred CertificationsMicrosoft Azure Solutions Architect ExpertAzure Data Engineer AssociateMicrosoft Fabric Analytics EngineerAWS Solutions Architect ProfessionalAWS Data Analytics SpecialtyGoogle Professional Data EngineerProfessional Cloud ArchitectDatabricks Certified ProfessionalSnowPro CertificationTOGAF CDMPBehavioral CompetenciesStrategic ThinkingExecutive CommunicationCustomer CentricityBusiness AcumenConsulting MindsetInnovation & Transformation LeadershipStakeholder InfluenceTeam Development & MentoringSuccess MeasuresArchitecture compliance across engagementsData platform modernization outcomesCost optimization and scalability improvementsData governance maturity improvementsAI/Analytics adoption enablementCustomer satisfaction and business value realizationReusable architecture assets and accelerators contributedExperience15-20+ years of experience, with at least:8+ years in Enterprise Data Architecture5+ years leading cloud data transformation programsExperience engaging with CIO/CDO/CDAO stakeholdersStrong exposure to Data + AI + GenAI strategy and implementationProven leadership across large enterprise and global delivery engagements