Data Modeler
About the Role
We are seeking an experienced Data Modeler to join our Data & Analytics practice. This hybrid role is focused on designing and governing enterprise data models for a global organisation operating within the Banking and Financial Services sector.
The successful candidate will work closely with business Subject Matter Experts (SMEs), governance teams, architects, and engineering squads to create robust conceptual, logical, and physical data models that support analytics, regulatory reporting, operational excellence, and digital transformation initiatives.
This role requires a strong blend of technical expertise, business understanding, and stakeholder collaboration. The ideal candidate will be passionate about delivering high-quality data models, enabling trusted enterprise data assets, and supporting modern data-driven decision-making across the organisation.
Key Responsibilities
• Apply strong proficiency in enterprise data modelling techniques to design and deliver high-quality conceptual, logical, and physical data models
• Create and maintain Conceptual, Logical, and Physical Data Models using PowerDesigner, ERwin, or equivalent modelling tools
• Collaborate with business SMEs, architects, analysts, and data governance teams to gather requirements and translate business concepts into scalable data models
• Apply Banking and Financial Services (BFS) data modelling knowledge to support enterprise data initiatives and business transformation programmes
• Leverage knowledge of Teradata Financial Services Logical Data Model (FSLDM) to align enterprise data structures with industry-standard banking data frameworks
• Resolve data model ambiguities, conflicts, and data definition issues through collaboration with business stakeholders and domain experts
• Ensure regulatory reporting requirements, including COREP, FINREP, and related reporting obligations, are accurately represented and preserved within data models
• Support business validation activities, testing initiatives, and User Acceptance Testing (UAT) processes to confirm data model accuracy and business alignment
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position.
Regardless of your working arrangement, we are committed to supporting work-life balance through our wellbeing initiatives and collaborative working culture. Working arrangements may evolve based on business and client requirements.
Required Skills and Qualifications
• Strong expertise in Enterprise Data Modeling
• Strong understanding of Logical and Physical Data Modeling principles and methodologies
• Good knowledge of Banking Data Models and Banking & Financial Services domain processes
• Knowledge of Teradata Financial Services Logical Data Model (FSLDM) is highly desirable
• Good understanding of Mortgage and Lending domain data structures and business processes
• Strong SQL skills for data analysis, validation, and model verification activities
• Experience supporting Metadata Management, data governance, and data lineage initiatives
Preferred Qualifications
• Knowledge of enterprise data governance frameworks and metadata management practices
• Familiarity with regulatory data requirements within Banking and Financial Services organisations
• Understanding of modern cloud-based data platforms and enterprise analytics ecosystems
• Experience supporting large-scale data transformation and modernisation programmes
What We Offer
At Cognizant Netherlands, we invest in talented professionals who help organisations unlock the value of data and drive innovation.
• Competitive salary
• Opportunity to work in a technology-driven organisation
• International working environment with diverse teams and global opportunities
• Continuous learning, professional development, and career growth opportunities
• Exposure to large-scale banking transformation programmes and modern data technologies
Why Join Us
This is an opportunity to play a key role in shaping enterprise data foundations within a leading Banking and Financial Services environment. You will work alongside highly skilled professionals, contribute to strategic data initiatives, and help create trusted, scalable, and business-aligned data assets that support analytics, regulatory compliance, and digital transformation.
We welcome professionals who bring technical depth, business understanding, curiosity, collaboration, and a passion for high-quality data modelling.
Contact the Recruiter
Megha Nagpal
Email: [email protected]
Phone: +31 6 2715 5643
Equal Opportunity Statement
Cognizant is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We consider all qualified applicants based on skills, experience, qualifications, and business requirements, creating an environment where everyone can contribute, grow, and succeed.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
