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 One Lake
• 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
:

• Data Ops & 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 Dev Ops
• Excellent communication, presentation and stakeholder management skills

· 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 One Lake, 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.