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 businss user requirements, designing and devloping scalable, next generation, enterprisewide solutions. Ability to understand existing systems and modernize
Working experience in Agile project environment
Ability to manage multiple tasksand adjusting to changing priorities
Good understanidng of Cloud technologies
Conduct Meetings
Deliver DTS specific reports and artifacts
AS part of the centralized Data Services team, support teams in planning, sizing, prioritizing project activities. Recommend the right enterprise technical solutions based upon documentable facts.
