eNcloud Services Immediate Requirement

Job Title: Enterprise Data Modeler

Location: Richmond,VA

Hybrid Position

C2C/W2

*Job Description*:

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

-- 

Thanks & Regards,







*JONNALA RAJENDRA*
*Associate, Client Relations and Business Development*

*P : +1 (281) 595-0972*

*E *: rjonn...@encloudservices.com

*LINKEDIN:https://www.linkedin.com/in/jonnala-rajendra-a79516282/
<https://www.linkedin.com/in/jonnala-rajendra-a79516282/>*
*www.encloudservices.com <http://www.encloudservices.com>*

Katy, TX | Westborough, MA.

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