Hybrid Enterprise Data Modeler Richmond, VA (locals only)

Title:                                   Enterprise Data Modeler

Duration:                         6+ months

Interview:                        Video and In Person

Visa:                                     USC, GC, EAD/GC, H4/EAD,

City:                                     Hybrid, Richmond, VA (locals only)

 

 

 

 

 

 

Complete Description:

 

*candidate will be required to interview ONSITE, NO exceptions

 

*candidate will be required to work ONSITE 2-3 days/wk

 

*Contractor will be responsible for purchasing parking through Parking Management Office or procuring their own parking

 

 

 

 

 

Job Description: Enterprise Data Modeler

 

Responsibilities:

 

• Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.

 

• Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.

 

• Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model.

 

• Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture.

 

• Perform data profiling/analysis activities that helps to establish, modify and maintain data model.

 

• Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.

 

• Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.

 

• Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solution Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.

 

• Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.

 

• Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.

 

• Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.

 

• Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.· Ensure that data strategies and architectures are in regulatory compliance.

 

• Good knowledge of applicable data privacy practices and laws.

 

• Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language.

 

• Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks

 

 

 

Require/Desire Skills

 

Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.           Required             10           Years

 

Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team. Required             10           Years

 

Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect th               Required             10           Years

 

Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.                Required             10           Years

 

Perform data profiling/analysis activities that helps to establish, modify and maintain data model      Required                10           Years

 

Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.                Required             10           Years

 

Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol       Required             10           Years

 

Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.     Required             10           Years

 

• Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity              Required             10           Years

 

Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.                Required             10           Years

 

Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.                Required             10           Years

 

Thank & Regards

Shard Phutela | Techincal Recruiter

D: 267-665-2313,

First Ring Solutions LLC | Philadelphia, PA 19102

Note: Due to high volume of calls, I may miss your call, email is the better way to reach me.

 

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