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Responsibilities
Role OverviewAs a Data Solutions Architect, you will define, design, and govern enterprise-wide data architecture to ensure alignment with business strategy, regulatory requirements, and long-term scalability needs.This is a strategic leadership role that requires deep expertise in financial data ecosystems and enterprise transformation initiatives. You will play a critical role in shaping the organization’s data strategy, enabling advanced analytics, AI-driven decision-making, and regulatory compliance across multiple business domains.Experience Requirement• Senior Level Only: 8–10+ years of experience in data architecture, data platforms, or enterprise data transformationKey ResponsibilitiesDesign and implement enterprise-level data architecture frameworks (e.g., data lake, data warehouse, data mesh)Define and enforce data governance, security, and compliance standards across the organizationLead the architecture of AI and machine learning platforms and enterprise data productsCollaborate closely with business, technology, and risk teams to align data capabilities with strategic prioritiesEnsure compliance with regulatory frameworks (e.g., GDPR and local financial regulations)Drive adoption of modern data paradigms such as Data Mesh and Data Product-based architecturesEstablish best practices for data integration, scalability, performance, and reliabilityGuide enterprise data transformation programs and modernization initiativesFinancial Services Expertise (Mandatory)Candidates must demonstrate hands-on experience in financial data environments, including:Regulatory reporting and compliance-driven data architecturesRisk and finance data platformsCustomer and transaction data modelsData governance frameworks aligned with regulatory requirementsTechnical ExpertiseCloud PlatformsAWSAzureGoogle Cloud Platform (GCP)Data Architecture & ModellingEnterprise data modelling frameworks (e.g., Kimball, Data Vault)Data warehouse and data lake architecturesData integration and distributed data systemsDatabases & Data TechnologiesRelational databasesNoSQL databasesGraph databasesVector databasesData & AI PlatformsAPI-driven data ecosystemsMLOps and AI platform architectureScalable data infrastructure designEvaluation CriteriaCandidates will be evaluated based on:Proven experience delivering enterprise-scale data architecture solutionsAbility to align business strategy with data and analytics strategyExperience leading large-scale data transformation or modernization programsLeadership capabilities and stakeholder influence across technical and business teamsTrack record of implementing governance, compliance, and scalable data frameworksKey Performance Indicators (KPIs)Scalability, reliability, and performance of enterprise data platformsCompliance with governance and regulatory requirementsAdoption of enterprise data architecture standards across business unitsReduction of data silos and improvement in data accessibility and consistencyEnablement of advanced analytics and AI capabilities across the organizationPreferred ProfileExperience leading enterprise data transformation initiatives in banks, financial institutions, or NBFC environmentsStrong stakeholder management skills at executive and leadership levelsDemonstrated ability to drive organization-wide adoption of data strategy and architecture frameworksExperience working in complex, regulated, or multi-country environmentsStrategic mindset with strong decision-making and communication skills
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