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Data Architect

Access To Future, Chicago, IL, United States


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

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