Job TitleDesign and implement scalable application-centric data architectures in AWS and Azure environments.Architect and optimize enterprise Data Lake / Lakehouse solutions (in-house implementation is mandatory).Define data models, metadata management, and data integration strategies.Build and manage cloud-native data pipelines and ETL/ELT processes.Collaborate with application development teams to ensure data architecture aligns with business requirements.Ensure compliance with enterprise data governance, security, and regulatory standards (banking/financial domain preferred).Provide architectural guidance for cloud migration and modernization initiatives.Perform performance tuning and optimization of data platforms.Work closely with DevOps and Cloud teams for CI/CD and infrastructure automation.Provide technical leadership and mentor data engineering teams.Required Skills & Experience10+ years of overall IT experience.Strong hands-on experience as an Application Data Architect.Deep expertise in AWS services such as:S3RedshiftGlueEMRLambdaRDSWorking experience with Microsoft Azure data services.Proven experience designing and implementing Enterprise Data Lake / Lakehouse architecture (in-house lake is mandatory).Strong experience in:Data Modeling (Conceptual, Logical, Physical)ETL/ELT frameworksData PipelinesAPI-based integrationsStrong understanding of data governance, security, and compliance.Experience working in banking or financial services domain is a plus.Excellent communication and stakeholder management skills.Preferred QualificationsExperience in hybrid cloud architecture (AWS + Azure).Knowledge of modern data frameworks (Spark, Databricks, etc.).Familiarity with CI/CD, DevOps practices.Experience working in Agile/Scrum environments.