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Description
The person in this position will assist in providing technical expertise in developing architectural frameworks for enterprise data warehouses Must have implementation experience with Master Data Management, Customer Identity, Customer 360 and Data Classification Helps implement data management best practices in achieving and maintaining high data maturity standards. Researches and suggests new / cloud-based data modeling technologies and techniques to improve data storage/quality/performance, data forensics and advanced analytics including AI and ML Provides architectural support for large systems data migrations Hands on experience with Fraud detection and prevention Ability to reviews and recommend improvements to existing architectures Architect and develop new integrations as required Assist selection of tools, frameworks, and mechanisms for data analytics, recommend standards, policies and procedures Experience analyzing complex legacy databases and problem solving operational data integrity issues
Preferred Qualifications:
Understanding the business user requirements, designing and developing scalable, next generation, enterprise wide solutions. Ability to understand existing systems and modernize Working experience in Agile project environment Ability to manage multiple tasks and adjusting to changing priorities Good understanding of Cloud technologies
Server - Advanced
Storage - Intermediate
Networking - Intermediate
Salesforce or .NET - Advanced
JAVA - Advanced
Enterprise Service Bus - Advanced
SQL Database - Advanced - 5 years - Required
Tableau - Intermediate - 3 years - Required
ETL Tools - Advanced - 5 years - Required
Project Management - Advanced
Scrum - Intermediate - 3 years - Required
Agile - Intermediate - 3 years - Required
IT Testing - Intermediate - - Required
QA Processes - Intermediate - Required
Master Data Management - Advanced - 5 years - Required
Data Architecture - Advanced - 5 years - Required
Data Classification - Advanced - 5 years - Required