Data Modeler

Main Purpose

As a Data Modeler, you will be responsible for designing and implementing conceptual, logical, and physical data models that support WFS’s cloud-native architecture. You will work cross-functionally with data engineers, analysts, and product teams to translate business requirements into scalable data structures, ensuring performance, consistency, and compliance across the data ecosystem.

• Design and maintain conceptual, logical, and physical data models.
• Implement models across AWS services (Redshift, RDS, S3, Glue, DynamoDB)
• Establish and enforce data modelling standards, naming conventions, and metadata practices.
• Collaborate with business stakeholders to translate needs into efficient data structures.
• Optimize data models for performance, scalability, and cost-efficiency in the cloud.
• Ensure data integrity, lineage, and governance through modelling best practices.
• Support secure, compliant, and well-documented data architecture design.
• Participate in data integration and transformation efforts across systems.
• Maintain and update ER diagrams, data dictionaries, and related documentation.

• Bachelor’s degree in computer science, Information Systems, Data Science, or related.
• 3+ years of hands‑on experience in data modelling and architecture
  .
• Strong command of AWS data services
  :
  Redshift, RDS, S3, Glue, Athena, DynamoDB.
• Proficient in SQL and data modelling tools (ER/Studio, ERwin, dbt, etc.).
• Experience with relational, dimensional, and No
  
  SQL modelling
  .
• Understanding of streaming platforms (e.g., Kafka, Kinesis).
• Experience with data warehouse and Lakehouse architectures
  .
• Familiar with Agile methodologies and cross‑functional team collaboration.

• Hands‑on experience with Confluent Cloud and Kafka
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• Understanding of data governance frameworks and cataloguing tools.
• Exposure to CI/CD, Terraform, and Data Ops pipelines
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• AWS certification (e.g., Data Analytics or Solutions Architect) is a plus.

• Excellent communication and documentation skills.
• Ability to simplify complex data concepts for diverse audiences.
• Proactive, collaborative, and solution‑oriented mindset.

• A cloud‑native environment focused on innovation and learning.
• Opportunities for professional development and AWS certification support.
• Competitive compensation and benefits.
• Flexible work options, including hybrid or remote work.
• A culture of collaboration and data‑driven impact.

• Curiosity and passion for understanding of technology
• Analytical, with an affinity to solve problems
• Ability to work under pressure in a fast paced, dynamic environment
• Eager to embrace unfamiliar situations with a positive mind‑set
• Hard working and results driven
• Team player
• Excellent communication skills