Data Modeller

Role & responsibilities

Job Summary:

Data Modeler

Key Responsibilities:

• Design conceptual, logical, and physical data models for enterprise data systems.
  
• Translate business requirements into data models that support long-term solutions.
  
• Collaborate with data architects, engineers, and business analysts to ensure data models align with business needs and technical standards.
  
• Create and maintain data dictionaries, entity-relationship (ER) diagrams, and metadata documentation.
  
• Optimize and refine data models for performance and scalability.
  
• Enforce data modeling standards and best practices.
  
• Work with stakeholders to identify data needs, inconsistencies, and gaps.
  
• Support data governance, data quality, and master data management initiatives.
  

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
  
• 3+ years of experience in data modeling or data architecture roles.
  
• Strong experience with data modeling tools such as

  Erwin, ER/Studio, SAP PowerDesigner

  , or similar.
• Proficiency in SQL and understanding of relational databases (e.g., Oracle, SQL Server, PostgreSQL).
  
• Experience with data warehousing concepts (e.g., star/snowflake schema, slowly changing dimensions).
  
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
  
• Understanding of ETL processes and tools (e.g., Informatica, Talend, DBT).
  
• Knowledge of NoSQL databases (e.g., MongoDB, Cassandra) and big data technologies is a plus.
  
• Excellent analytical and problem-solving skills.
  
• Strong communication and collaboration skills.
  

Preferred Qualifications:

• Experience in Agile development environments.
  
• Exposure to data governance tools (e.g., Collibra, Alation).
  
• Knowledge of industry-standard data privacy and compliance regulations (e.g., GDPR, HIPAA).
  
• Certification in data modeling or data management (e.g., CDMP).

Preferred candidate profile