What are the responsibilities and job description for the ZonForce Technology | Data Modelar position at ZonForce Technology?

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Job Title- enterprise data modeler

Location- Richmond, VA

12 Months Contract

The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior

Data modeler to develop Data models for Data Assets and implementation of a cloud-based data

management platform that will support the agency.

Enterprise data modeler provides expert support across the enterprise information framework, analyze

and translate business needs into long-term solution data models by evaluating existing systems and

working with a business and data architect to create conceptual data models , data flows . Develop best

practices for Data Asset development, ensure consistency within the system and review modifications of

existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for

variance discrepancies and efficiency. Maintain logical and physical data models along with accurate

metadata.

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

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