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Data Modeler

2 months ago

San Antonio, United States Cynet Systems Full time
Job Description:

Responsibilities:
  • Develop comprehensive conceptual, logical, and physical data models for multiple domains within the organization, leveraging industry best practices and standards.
  • Collaborate with business and functional teams to understand their data requirements and translate them into effective data models that support their strategic objectives.
  • Serve as a subject matter expert in data modeling tools such as ERwin Data Modeler, providing guidance and support to other team members and stakeholders.
  • Establish and maintain standardized data models across portfolios and domains, ensuring consistency, governance, and alignment with organizational objectives.
  • Identify opportunities to optimize existing data models and enhance data utilization, particularly in critical areas such as fraud, banking, AML.
  • Provide consulting services to internal groups on data modeling tool usage, administration, and issue resolution, promoting seamless data flow and application connections.
  • Develop and deliver training content and support materials for data models, ensuring that stakeholders have the necessary resources to understand and utilize them effectively.
  • Collaborate with the enterprise data modeling group to develop and implement a robust governance framework and metrics for model standardization, with a focus on long-term automated monitoring solutions.
Qualifications:
  • Bachelors or Master's degree in Computer Science, Information Systems, or a related field.
  • 10+ years of experience working as a Data Modeler or in a similar role, preferably within a large enterprise environment.
  • Expertise in data modeling concepts and methodologies, with demonstrated proficiency in creating conceptual, logical, and physical data models.
  • Hands-on experience with data modeling tools such as Erwin Data Modeler, as well as proficiency in database environments such as Snowflake and Netezza.
  • Strong analytical and problem-solving skills, with the ability to understand complex data requirements and translate them into effective data models.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.