Northern Trust - Data Architect (IBM MDM)
Chicago IL or REMOTE
24-Months
Will be responsible for Architecting/Designing/Developing MDM data management. MDM Data is a collection of Northern Parties and contains large volume of data.
Will also provide a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture.
Experience Level: 10+ years
Qualifications
- Knowledge and hands-on development experience implementing MDM solutions using IBM MDM Advanced/Standard Edition v11.x., v12.x
- Customization of IBM Physical MDM (Extensions, Additions, Behavior extensions, Notifications, External Rules, Event Handling, Specs, Batch Processor, etc)
- Strong hands-on development experience, Suspect Duplicate Processing, Survivorship Rules
- Sound understanding of IBM Physical MDM concepts, Data Model (Party/Contract) and services/transactions
- Comfortable in configuring probabilistic matching engine (PME) (i.e. strong experience in developing and tuning the algorithm), Match iteration and tuning experience
- Review current suspect matching algorithm and determine scope for improvement and implement the improvements
- Comfortable in customizing DSUI (JSF based application)
- Strong in Core Java and SQL/PLSQL
- Comfortable in Unix scripting and commands
- Very strong customer interaction and communication skill
- Should be ready to work with offshore as coordinator
Nice to Haves
- Understanding of the investment management business, multiple asset classes, client and regulatory reporting
- Investment/financial technology systems within a large scale Asset Management setting
Tasks & Responsibilities
- Apply data management and architecture expertise in developing solution architecture and advanced analytics solution design, including reporting technology; Articulate tradeoffs, strengths, and weaknesses of various architectures and their components to determine the best design given use cases and constraints
- Identify internal and external data sources for potential integration into platform; Lead data migration and integration projects
- Create appropriate standards and processes to ensure quality and consistency of data in the platform
- Outline best practices and establish standards for data strategy, data lifecycle, data ownership, data definition, and data classification
- Collaborate with stakeholders and advanced analytics business partners to understand business needs and to identify and define advanced analytics solutions