I'm *Ramesh*, from Systel Inc. We've an urgent requirement with one of our
client for “*Sr. Data Modeler “*position in* Charlotte, NC* Please find
below the job description for the same and revert  me with your candidate’s
updated



Send resumes to *[email protected] <[email protected]>   *


*Position: Sr. Data Modeler*

*Location: Charlotte, NC*

*Duration: 12+ Months*

*Interview Mode: Phone & Skype*



*Mandatory Skills: *

Oracle, ERWIN



*Detailed JD:*

•         Need 9-10 years experienced consultant

•         Financial Services Data Experience and specifically Investment
Management

•         Logical modeling experience

•         Experience with a Financial Services Logical Data Model

•         Technical experience – specifically with Data Modeling tools like
Erwin and SQL query skillsets.

•         Strong Excel and SharePoint skills

•         Ability to employ (or learn) logical data modeling concepts

•         Ability to use ERWin, Embarcadero, or other high-end data
modeling software

·         Solid understanding of asset management concepts and terms
Responsibilities

·         Responsible for enterprise-wide data architecture design. Will
also carry out data modeling and develop strategy.

*Responsibilities include, but may not be limited to, the following: *

•         Working with business clients to define and prioritize data
requirements including data attributes, relationships and rules.

•         Develops enterprise data models to meet business information
requirements.

•         Develops and implements enterprise-wide data principles and data
modeling processes.

•         Recognizes and resolves conflicts between business data concepts
and definitions.

•         Develops enterprise-wide strategy of how data will be sourced and
stored.

•         Develops enterprise-wide strategies for data access tools.

•         Works with database administrators and developers to transform
data models and data requirements into a physical database design.

•         Works with clients and IT management to develop recommendations
for infrastructure upgrades.

•         Maintains enterprise-wide integrity of data by ensuring that data
currency and data cleansing procedures are implemented and followed.

•         Leads or contributes to the development of enterprise plans for
business intelligence and other data related initiatives.

•         Develops guidelines and standards for cataloging and maintaining
data.

•         Defines and documents the current state of the enterprise data
architecture.



Thanks & Regards



Ramesh Reddy M

Phone:678 250 9865

Email:[email protected]

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