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    DBT Data Modeling Lead - Oakland, United States - Cognizant

    Cognizant
    Cognizant Oakland, United States

    1 week ago

    Default job background
    Full time
    Description

    Not Applicable

    Qualification:

    Bachelors in science , engineering or equivalent

    Responsibility:

    Data Modeling
    • Analyze client's requirements gathered by the BAs/ SMEs.
    • Create the conceptual model based on the understanding of the business processes.
    • Provide technical guidance to the team to define the logical model (capturing the descriptions of entities, tables, columns etc) based on the conceptual model.
    • Interact with SMEs (business) and Architect to validate whether the data model is aligned with the technology suggested for the project.
    • Identify ways to design model to optimize the hardware usage.
    • Create industry standard data model in collaboration with SMEs, if required.
    • Define the standards for modeling, attributes and their naming conventions and share the same with the team.
    • Conduct discussions with the SMEs to create highlevel model design Assist the data mapping team in mapping source fields to attributes in the model and expanding the model as needed.
    • In collaboration with the data governance team, define the data governance model, if required.
    • Create a detailed mapping of the identity if required.
    • Review the physical data models created by the data modeler, if required.
    • New Solution Conceptualization.
    • Provide inputs to the Sr Architect to buy or make solutions/ products or to evaluate multiple products/ tools to identify the best fit for the proposed solution.
    • Requirements Definition and Analysis.
    • Based on the analysis of requirements and other parameters (eg cost , contract length, hardware), identify the different options available.
    • Create conceptual model to analyze the feasibility of the requirement.
    • Solution Definition.
    • Provide inputs to the Sr Architect in defining highlevel architecture, business logic, functionality requirements, data model and integration with other systems.
    • Project support.
    • Conduct sessions with the client on the implemented data model and its benefits.
    • Provide technical guidance to the team facing complex technical issues related to data model in the course of project delivery.
    • Sales Support.
    • Conduct a gap analysis to highlight the pros and cons of different approaches (customize the current model or adopt the industry standard model) based on understanding of the requirements.
    • Identify the best fit solution and seek review inputs from the lead modeler on the same.
    • Create a conceptual model to test feasibility of the proposed solution.
    • Provide inputs to the Project Manager on the resource planning, estimation etc for the proposal.
    • Stakeholder Management.
    • Monitor the concerns of internal stakeholders, follow through on commitments and achieve timely resolution of issues.
    • Work to expand professional network in the client organization.
    • Share business value of services to win engagement.
    • Innovation & Thought Leadership.
    • Incubate new products/ tools/ concepts.
    • Build business scenarios to showcase customers on new concept benefits which translates into new business.
    • Publish whitepapers to drive thought leadership.
    • Understand customer's business and explore new avenues to create efficient data models.
    • Introduce synergies between various teams to integrate various platforms (if required).
    • IP Building & Management.
    • Prepare documentation for all the components of the new concept (including the h/w, s/w requirements, nutshell, design, plan ).
    • Market Scan & Brand Building.
    • Scan the market to understand market trends.
    • Identify key trends and forecasts in the industry.
    • Conduct research on industry specific solutions and new platforms if required.
    • Participate in seminars /conferences.
    • Knowledge Management.
    • Create knowledge articles (industry Point of View, Case studies, lessons learnt document, problem, workaround solutions, best practices etc).
    • People Management.
    • Understand aspirations of team members.
    • Set goals for team members and monitor performance.
    • Guide the employee in setting career paths.
    • Coordinate with the different stakeholders in understanding how the employee can better contribute to the project, seek feedback and address concerns.
    • Conduct performance appraisal for team members.

    Must Have Skills

    • Data Build Tool
    • Data Modelling
    • ERWin
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