Required Skills

Data Architect

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 15th Nov 2025

JOB DETAIL

  • 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.

Company Information