Core Banking Data Architect

Data Architect is responsible for designing and implementing the data architecture for core banking implementations. This role involves defining data strategies developing data models and ensuring data governance across all core banking platforms. The Data Architect will work closely with business stakeholders IT teams and external vendors to ensure that the data infrastructure is scalable secure and capable of supporting both operational and analytical needs.

Required Skills & Qualifications:

Education: Bachelors or Masters degree in Computer Science Information Systems Data Science or a related field.

Experience:

o 10 years of experience as a data architect and expert in data modeling and database design.

o Experience in strategizing design and Integrating different data bases

o Data Management work experience in the environments where different data bases coexist and Integrate with each other

o 5 years of experience working with any of the core banking systemsTransformation/Upgrade data migrations (e.g. Temenos Oracle FLEXCUBE FinacleFIS).

o Experience with any one of the cloudbased data architectures and platforms (AWS Azure GCP).

o Strong background in data governance data quality and data security in a banking environment.

o Experience with ETL (Extract Transform Load) processes and tools (Informatica Talend etc.).

Technical Expertise:

o Expertise in database technologies DB2 and PostgreSQL

o Strong proficiency in data modeling tools

o Experience with big data technologies such as Hadoop Spark and Kafka.

o Knowledge of data warehousing and business intelligence tools (e.g. Power BI Tableau).

o Familiarity with API integration and data interchange formats (e.g. XML JSON).

o Strong understanding of regulatory and compliance frameworks in banking (e.g. PCIDSS GDPR KYC AML).

Soft Skills:

o Strong communication skills with the ability to explain complex data concepts to both technical and nontechnical stakeholders.

o Excellent problemsolving and analytical skills.

o Collaborative mindset and ability to work in crossfunctional teams.

Key Responsibilities:

Data Architecture Design: Develop and maintain the overall data architecture for core banking systems ensuring scalability efficiency and alignment with the organizations 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 realtime 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. PCIDSS 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 decisionmaking 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.