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Enterprise Data Modeler

Trillium Professional is now seeking an Enterprise Data Modeler in Richmond! 

The client 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 organization.
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.

Pay rate is $86 per hour. Apply now!

Requirements:
• 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
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 it may affect 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 solution 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

Trillium has been recruiting and placing clerical and office professionals for over 30 years. From Fortune 100 companies to small businesses, our philosophy remains the same: to achieve excellence by providing quality employees with an uncompromising level of service. We believe in honesty, integrity, and a simple philosophy of providing value to our customers and our employees. We strive to be unsurpassed in the recruitment and placement of professionals. Trillium is an Equal Opportunity Employer.

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Trillium offers a comprehensive benefit package that includes the ability to participate in health insurance and retirement plans, paid holidays, state required leave, and vacation days, if applicable. Trillium’s offerings are dependent on the state in which the assignment is located, length of time worked, and may change depending on assignment. Benefit packages for direct hire placements vary based on the client company.

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