The Custom Group of Companies
Enterprise Data Modeler
The Custom Group of Companies, Richmond, Virginia, United States, 23214
Overview
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Enterprise Data Modeler
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The Custom Group of Companies . The Client Information Technology Division is seeking a senior Data modeler to develop data models for Data Assets and implement a cloud-based data management platform that will support the agency. Enterprise data modeler provides expert support across the enterprise information framework, analyzes and translates 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 and 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; explain 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 help establish, modify and maintain data models. 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 a 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; ensure 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. Demonstrate good knowledge of applicable data privacy practices and laws. Strong written and oral communication skills; strong presentation and interpersonal skills; ability to present ideas in user-friendly language. Experience in writing queries (SQL, Python, R, Scala) as needed and experience with data technologies such as Azure Synapse, SQL Server, Snowflake, Databricks.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Staffing and Recruiting
#J-18808-Ljbffr
Join to apply for the
Enterprise Data Modeler
role at
The Custom Group of Companies . The Client Information Technology Division is seeking a senior Data modeler to develop data models for Data Assets and implement a cloud-based data management platform that will support the agency. Enterprise data modeler provides expert support across the enterprise information framework, analyzes and translates 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 and 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; explain 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 help establish, modify and maintain data models. 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 a 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; ensure 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. Demonstrate good knowledge of applicable data privacy practices and laws. Strong written and oral communication skills; strong presentation and interpersonal skills; ability to present ideas in user-friendly language. Experience in writing queries (SQL, Python, R, Scala) as needed and experience with data technologies such as Azure Synapse, SQL Server, Snowflake, Databricks.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Staffing and Recruiting
#J-18808-Ljbffr