Data Solutions Architect

Strong understanding of Banking & Financial Services data domains such as Customer 360, Risk, Compliance, Fraud, Treasury, Lending and Regulatory Reporting. 12–16 years of overall IT experience 12-15 + years of hands-on experience designing Modern Data Platforms including: Data Lakes / Lakehouse / Data Warehouses Business Intelligence & Advanced Analytics Strong experience with Microsoft Fabric components including: Fabric OneLake Fabric Pipelines Fabric Notebooks Hands-on expertise with Azure Data Factory, Azure Databricks, dbt and other Azure data services Proven experience in Banking & Financial Services analytics use case analysis , source system analysis and data quality assessment. Experience with Fiserv Core platforms is a big advantage Experience working with large-scale enterprise data platforms , high-volume datasets and analytical models Strong understanding of Data Management principles : Data Governance Data Cataloging & Metadata Management Data Security & Privacy Master Data Management (MDM) Familiarity with Modern Data Platform principles : DataOps & CI/CD Performance Optimization Reliability, Scalability and Security Strong knowledge of data architecture styles and design patterns Experience leading Discovery & Design workshops with Banking & Financial Services business and IT stakeholders Proven Expertise in implementing AI solutions to customers Experience collaborating with onshore and offshore delivery teams Hands-on experience with Agile delivery models and Azure DevOps Excellent communication, presentation and stakeholder management skills Key Responsibilities · Define end-to-end architecture leveraging Microsoft Fabric , Azure Data Platform and Azure AI Services.

• Lead solution design across Data Engineering, Data Science, BI and AI workloads.
• Architect Fabric components including OneLake, Data Factory, Lakehouse, Warehouse, Real-Time Analytics and Power BI .
• Define AI strategy using Azure OpenAI Service, Azure AI Search, Azure AI Document Intelligence, Azure AI Foundry, Microsoft Foundry and Azure Machine Learning .
• Ensure compliance with banking regulations, security, governance and risk management requirements.
• Drive stakeholder engagement and align technology solutions with business objectives.
• Provide architecture governance and technical leadership throughout delivery lifecycle.

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