Senior Data Modeler at Capco
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

11 Dec, 25

Salary

192000.0

Posted On

12 Sep, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Technology Trends, Maintenance, Analytics, Financial Services, Digital Transformation, Technology Architecture, Career Opportunities, Architecture, Business Design, Design, Strategy, Vision Insurance, Technology Implementation, Snowflake, Cloud, Competitive Landscape

Industry

Information Technology/IT

Description

ABOUT THE TEAM:

Capco Technology specializes in advisory, implementation, and delivery of client-centred solutions across the Financial Services, Energy, and Insurance industries. We support modern platform implementations, product innovation, digital transformations, end-to-end IT delivery embedded with DevOps practices and service-oriented architecture, omni-channel standardization, cloud-based data management, predictive data analytics. Working in collaboration with our digital team and industry domain practices, we advise clients with solution offerings to leverage technology to deliver efficiency, optimization, and end-customer satisfaction.

Responsibilities
  • Perform hands-on Data Modelling, adoption of modern software engineering & delivery practices
  • Will work on building Logical and Conceptual Data Model
  • Will work on Ontological Modelling
  • Will have to gather and Publish Data Dictionaries:
  • Will maintain data models in data modelling environments.
  • Will capture data models from existing databases, and record descriptive information into them
  • Identify business needs, organize and define data, create and maintain Conceptual, Logical and Physical data models
  • Maintain appropriate Version Control on data models
  • Participate in the de-normalization of the data model, ensuring that business rules which are impacted during de-normalization are implemented via an alternate mechanism (i.e. trigger, application code).
  • Closely work with the App Dev team and DBA to create an appropriate Conceptual, Logical and Physical Data Model
  • Present data designs and project approaches to the Data Review Board (DRB) for review and approval, and ensure all DRB artifacts are created with clients
  • Generate DDL and validate that the DDL is implemented properly
  • Identify opportunities to reuse data and reduce redundancy in data across the enterprise
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