Data Architect with Credit Card Industry Experience

Keasis; Wilmington (DE); On-site; USD 85,000 - 115,000; Part time

Job summary

A financial services company is seeking a Data Architect with experience in the credit card industry. The role involves analyzing and mapping data for migration to new systems, ensuring data integrity and compliance with regulations. Ideal candidates should have strong SQL skills, experience with ETL processes, and the ability to work collaboratively under tight deadlines.

Qualifications

• Experience with data mapping, data migration, and ETL processes.
• Proficiency in SQL and relational databases.
• Familiarity with major credit card processing platforms.
• Understanding of credit card lifecycle and compliance.
• Strong analytical skills for resolving data discrepancies.

Responsibilities

• Analyze existing credit card system data structures.
• Develop detailed data mapping documentation.
• Collaborate with teams to gather requirements.
• Design and execute data migration processes.
• Perform data validation and troubleshooting.
• Support testing activities and provide test data.
• Document conversion processes for future reference.

Skills

Data Mapping & Migration

Database Knowledge

Credit Card Systems

Data Quality & Validation

Communication

Attention to Detail

Teamwork

Job description

Data Architect with Credit Card Industry Experience

The Credit Card Systems Conversion Data Mapping Specialist is responsible for analyzing, mapping, and migrating data between legacy and new credit card processing systems. This role ensures the integrity, accuracy, and completeness of data throughout the conversion process, working closely with business stakeholders, IT teams, and vendors.

Role: Data Architect with Credit Card Industry Experience

Type: Contract

Technical Skills

• Data Mapping & Migration: Experience with data mapping, data migration, and ETL (Extract, Transform, Load) processes.
• Database Knowledge: Proficiency in SQL, relational databases (Oracle, SQL Server, DB2), and data modeling.
• Credit Card Systems: Familiarity with major credit card processing platforms (e.g., TSYS, FIS, First Data, etc.).
• Data Quality & Validation: Skills in data validation, cleansing, and reconciliation.

Business & Domain Knowledge

• Credit Card Operations: Understanding of credit card lifecycle, transaction processing, account management, and compliance (PCI DSS).
• Regulatory Requirements: Awareness of financial regulations and data privacy laws relevant to credit card data.

Project Management & Analytical Skills

• Requirements Gathering: Ability to work with business analysts and stakeholders to gather and document data mapping requirements.
• Problem Solving: Strong analytical and troubleshooting skills for resolving data discrepancies.
• Documentation: Experience in creating detailed mapping documents, data dictionaries, and conversion plans.

Soft Skills

• Communication: Excellent verbal and written communication skills for collaborating with cross-functional teams.
• Attention to Detail: High level of accuracy and attention to detail in data mapping and validation.
• Teamwork: Ability to work effectively in project teams, often under tight deadlines.

Key Responsibilities

• Analyze existing credit card system data structures and identify mapping requirements for conversion to new platforms.
• Develop detailed data mapping documentation, including source-to-target mapping, transformation rules, and data dictionaries.
• Collaborate with business analysts, system owners, and technical teams to gather requirements and validate mapping logic.
• Design and execute data migration and ETL processes, ensuring data quality, consistency, and compliance with regulatory standards.
• Perform data validation, reconciliation, and troubleshooting to resolve discrepancies during conversion.
• Support testing activities, including unit, system integration, and user acceptance testing, by providing test data and validating results.
• Document conversion processes, mapping logic, and any issues encountered for future reference and audit purposes.
• Ensure compliance with PCI DSS and other relevant data privacy and security regulations.
• Provide post-conversion support, including data issue resolution and process optimization.