Sr. Associate - Projects
Cognizant
Bangalore, Karnataka, India
1d ago

Qualification :

Bachelors in science , engineering or equivalent

Responsibility : Data Modeling

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

  • Azure Data Lake
  • Azure Data Factory
  • Data Modeler
  • Azure
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