Hi,

We have One Layer between Client and us and if you are Interested to work
with us then Please submit Resumes to [email protected]



Role: Data Architect

Location: Weehawken, NJ

Duration: 6 months

Interview: Phone/FTF

Rate: $65-75/hr



Locals or nearby who can do face to face on their expenses with recent
banking or large financial client experience



*Job Description: *

-Senior Data Architect with reference data and a financial background.
Candidates should have the following experience:

-Must be responsible for data architecture related activities, for multiple
initiatives (projects) supporting a GFTS applications (Enterprise Risk,
Compliance or Finance)

- Must support the Portfolio Architect in managing the data components of
the GFTS application portfolio, and contribute to the application portfolio
strategy, roadmap development and support special data architecture requests


- Must provide an integrated engagement model for services and deliverables
from the Data Management & Strategy group (data analysis, data modeling, ETL
delivery, BI delivery, Sybase IQ delivery). While the data architect will
not own the actual delivery of data models, ETL, BI etc, he/she will need to
work closely as part of a virtual team of resources from these disciplines
assembled for a specific project, and drive the delivery in conformance with
the data architecture and strategy.

- Must ensure the adherence of projects and initiatives to the data
roadmaps, design data architecture and solutions to address data challenges
of the initiatives, identify shared data sources, components and services
that will be applicable and leveragable by multiple initiatives

-Must Identify consolidation and retirement opportunities for data sources,
define a migration strategy for applications towards the target state



*Qualifications: *

- Bachelors or Master's degree in computer science, math, or engineering, or
equivalent experience.

- 15+ years of experience with multiple large scale implementations of RBMS
and warehouses

- Demonstrated architecture, design and delivery experience in the full
lifecycle of data, from sourcing from multiple source systems using ETL and
other means, defining data quality KPIs, constructing and implementing data
quality rules, logical and physical data modeling, loading into data
warehouse, building reporting data marts and constructing BI reports)

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