Experience:

• 10+ years of experience as a data architect and expert in data modeling, and database design.
• Experience in strategizing, design and integrating different data bases
• Data Management work experience in the environments where different data bases co-exist and integrate with each other
• 5 years of experience working with any of the core banking systems-Transformation/Upgrade data migrations (e.g., Temenos, Oracle FLEXCUBE, Finacle, FIS).
• Experience with any one of the cloud-based data architectures and platforms (AWS, Azure, GCP).
• Strong background in data governance, data quality, and data security in a banking environment.
• Experience with ETL (Extract, Transform, Load) processes and tools (Informatica, Talend, etc.).

Technical Expertise:

• Expertise in database technologies DB2 and PostgreSQL
• Strong proficiency in data modeling tools
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Knowledge of data warehousing and business intelligence tools (e.g., Power BI, Tableau).
• Familiarity with API integration and data interchange formats (e.g., XML, JSON).
• Strong understanding of regulatory and compliance frameworks in banking (e.g., PCI-DSS, GDPR, KYC, AML).

Soft Skills:

• Strong communication skills, with the ability to explain complex data concepts to both technical and non-technical stakeholders.
• Excellent problem-solving and analytical skills.
• Collaborative mindset and ability to work in cross-functional teams.

Key Responsibilities:

• Data Architecture Design: Develop and maintain the overall data architecture for core banking systems, ensuring scalability, efficiency, and alignment with the organization's business goals.
• Data Modeling: Design and implement logical and physical data models for core banking applications, including customer data, transactions, accounts, payments, and regulatory reporting.
• Data Integration: Lead the integration of data across core banking systems and external platforms, ensuring data consistency, quality, and accessibility for real-time and batch processing.
• Data Strategy: Define and implement the data strategy for core banking, including data governance, data lifecycle management, and data retention policies.
• Data Quality & Governance: Establish and maintain data governance frameworks and ensure data quality management processes are in place. Work closely with data stewards to monitor data accuracy, completeness, and consistency.
• Data Security & Compliance: Implement data security measures, ensuring compliance with industry standards (e.g., PCI-DSS, GDPR) and regulatory requirements for banking data.
• Collaboration: Work closely with software developers, business analysts, and system architects to design data structures that support core banking processes and workflows.
• Cloud & Big Data Integration: Lead the migration and integration of data systems to cloud environments (AWS, Azure, GCP) and implement big data solutions as needed for advanced analytics and reporting.
• Data Reporting & Analytics: Support the development of reports and dashboards by ensuring the availability and integrity of data for business intelligence and decision-making processes.
• Performance Optimization: Monitor and optimize data systems for performance, ensuring efficient data retrieval and processing across core banking operations.
• Data Migration: Oversee data migration initiatives for core banking modernization projects, ensuring smooth transitions from legacy systems to modern platforms.
• Documentation: Create and maintain comprehensive documentation for data architectures, models, governance policies, and security protocols.