Enterprise Data Modeler
Enterprise Data Modeler
Posted on :
22-01-2025
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1 Vacancy
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Job Description
Job Title: Enterprise Data Modeler
Location: Richmond VA (Hybrid: 23 days onsite 23 days remote)
- Onsite Work: Must be willing to work onsite 23 days a week (required no exceptions).
- Interview: Onsite interview required (no exceptions).
- Location: Candidate must physically reside in the United States for the duration of the assignment.
- Commonwealth of Virginia security policies prohibit the use of offshore IT contractors
Job Description:
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Data Modeling:
- Create conceptual data models to identify key business entities their relationships and define concepts and rules.
- Translate business needs into logical and physical data models including documentation for team reference.
- Develop canonical and Data as a Service models to support integrations.
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Data Profiling and Governance:
- Perform data profiling/analysis to establish modify and maintain data models.
- Enforce data models and naming standards across deliverables.
- Establish processes for governing metadata collection and usage to ensure accuracy and validity.
- Track data quality completeness and redundancy and recommend improvements.
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Integration and Testing:
- Analyze datarelated system integration challenges and propose strategic solutions.
- Implement business rules for data reconciliation and deduplication.
- Support and use Master Data Management (MDM) toolkits for source system integration.
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Planning and Security:
- Conduct data capacity planning lifecycle analysis usage feasibility studies and related tasks.
- Develop strategies for data security backup disaster recovery and business continuity.
- Ensure data strategies and architectures comply with applicable data privacy practices and regulations.
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Communication and Collaboration:
- Present and communicate data modeling results to stakeholders and development teams.
- Work closely with internal teams to ensure alignment to the defined architecture and governance processes.
- Document and report results ensuring all team members are informed of progress and changes.
- 10 years of experience in:
- Creating conceptual logical and physical data models.
- Data profiling and analysis for maintaining data models.
- Addressing data integration challenges with strategic approaches.
- Developing canonical models and implementing SOA to support integrations.
- Enforcing data models naming standards and governing corporate metadata usage.
- Conducting data capacity planning lifecycle analysis and usage requirement studies.
- Presenting data modeling results to stakeholders and explaining technical features.
- Experience with MDM toolkits and integrating source systems.
- Strong understanding of data reconciliation deduplication and tracking processes.
- Proficiency in writing queries using SQL Python R or Scala.
- Handson experience with data technologies such as Azure Synapse SQL Server Snowflake and Databricks.
- Strong knowledge of data privacy practices and laws.
Employment Type
Full Time
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