We seek a motivated and skilled Data Modeler to join our dynamic team. This role involves designing, developing, and maintaining data models for cloud-based data platforms, primarily on AWS. The Data Modeler will play a critical role in shaping high-quality data structures that drive effective data solutions for business needs.
About the Client: Our client is a leading IT company in the financial services sector, specialising in delivering innovative technology solutions on a global scale. With a strong focus on AWS, the company leverages cutting-edge cloud technologies to provide scalable, secure, and efficient data-driven solutions.
Key Responsibilities: Data Modeling and Standards: Apply data modeling and design standards, tools, and best practices.Collaborate closely with data architects to design customised databases using conceptual and logical models.Develop conceptual, logical, and physical data models; implement RDBMS, operational data stores (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).Ensure data models align with business requirements and architecture frameworks.Utilise approved tools to create high-quality data modeling deliverables.Maintain the Enterprise Logical Data Model as a standard to streamline data modeling efforts.Oversee modeling activities to ensure consistency with the Enterprise Data Model (EDM).Data Analysis and Mapping: Collaborate with team members to translate business requirements into data requirements.Profile source data to assess data quality, relationships, patterns, and rules.Structure data requirements based on the Enterprise Data Model, including ERD and dimensional models.Identify definitive data sources, analyse data quality, and address gaps.Generate physical data models to enable efficient data structure implementation.Data Flow and Standards Compliance: Document data flows across systems and interfaces to facilitate data flow understanding.Implement standards for document naming, security, and data lifecycle management.Identify opportunities for data-driven improvements in business processes.Behavioural Competencies: Stakeholder Engagement: Collaboration, influencing, and effective communication.Decision Making: Analytical mindset and strong problem-solving skills.Action-Oriented: Results-focused, deadline-driven, with a commitment to excellence.Intellectual Curiosity: Continuous learning, adaptability, and innovation.Analytical Thinking: Meticulous attention to detail and output quality.Team Player: Collaborative, supportive, and a strong communicator.Personal Mastery: Lifelong learning and skill enhancement.Qualifications: Bachelor's degree in IT, Engineering, or Business Analysis-related fields.AWS Certified Cloud Practitioner or similar certification is advantageous.Minimum Requirements: Proficiency in Data Modeling tools such as Sparx Enterprise Architect, Erwin, SAP Power Designer, ER/Studio, or IBM Data Architect.Expertise in Entity Relationship Modeling, Physical Database Design, Data Warehousing, Data Integration, and Data Quality.Strong understanding of Master Data Management, Metadata, and database concepts.Knowledgeable in conceptual, logical, and physical data modeling principles.Familiarity with data models, relational and dimensional modeling, and data normalisation.Broad knowledge of Data Management (DMBOK), SDLC, and IT Architecture.Ideal Experience and Skills: Experience with Canonical Data Modeling.Background in banking or financial services environments.Familiarity with BI tools and database optimisation.Strong ability to communicate complex technical ideas to varied audiences.Experience with semi-structured databases is a plus.Experience: Minimum of 7+ years of relevant data modeling experience.
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