Data Modeler

GCP Cloud Experience is Mandator

yRelevant Experience: 8-12 year

s
Technical Requirement

s:• Experience in Relational/Normalized Data Modelli

ng• Strong Business Analysis skil

ls• Proficiency in Data Analys

is• Ability to develop conceptual, logical, and physical data models to support busine

ssrequiremen

ts• Experience in developing enterprise data models for OLTP, Analytics/AI/ML environmen

ts• Familiarity with data modelling tools such as ER Studio, EA Sparx, Collib

ra• Knowledge of metadata modelling, management, and tooli

ng• Implementation experience of physical models for interfaces, data stores, and cloud-bas

edsolutio

ns• Participation in governing data mode

ls• Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSL

DM
Functional Requiremen

ts:• Analyzing Data Requireme

nts• Creating/Modifying Entities and Attributes in

BDM• Identifying Reference Doma

ins• Peer reviewing BDM changes made by other Data Model

ers• Reviewing Physical data models to ensure alignment with logical definiti

ons• Uploading extension attributes into Colli

bra• Coordinating modelling efforts across the Platf

orm• Resolving any overlap/duplication/contradiction in Platform

BDM• Adopting and enforcing standards and guideli

nesPreparing BDM for integration with

GDM• Attending cross-Platform sessions to coordinate at an enterprise lev

el.This role offers a compelling opportunity for a seasoned Data Modeler to drive transformative cl

oudinitiatives within the financial sector, leveraging unparalleled experience and expertise to deli

verinnovative cloud solutions that align with business imperatives and regulatory requiremen

ts.
Qualifica

tiono Engineering Grad / Postgrad

uateCRIT

ERIAo Proficient in relational data modeling and business analysis with metadata manage

mentexperie

nce.o Skilled in developing conceptual, logical, and physical data models for varied environme

nts.o Familiarity with data modeling tools like ER Studio, EA Sparx, and Colli

bra.o Experience in creating and governing data models, including financial and reference mod

els.o Ability to coordinate and resolve model discrepancies across platforms with a focu

s onintegrat

ion.