Data Architect

Position: Data Architect with MDM

Location: Chicago IL/ Remote

Duration: Long Term Contract

Notes:

Looking for solid hands on developer who has experience with MDM and PMV (Probabilistic Machine Engine) SQL

Looking for someone who has 10 years of experience but not very senior (15-25 years of experience)

Selected candidate has to do the 40% hands on development and 60% coordination as some of the team members are working from India.

Experience Level: Mid, above 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

Qualified candidates should APPLY NOW for immediate consideration! Please hit APPLY to provide the required information, and we will be back in touch as soon as possible.

We are currently interviewing to fill this and other similar positions. If this role is not a fit for you, we do offer a referral bonus program for referrals that we successfully place with our clients, subject to program guidelines. ASK ME HOW.