Lead Data Engineer/Modeler

Data Modeling & Architecture

Design conceptual, logical, and physical data models for enterprise data products and analytics platforms.

Develop dimensional, canonical, and semantic data models to support reporting, AI, and business intelligence use cases.

Create scalable and reusable data structures for Snowflake, Big Query, and cloud-based Lakehouse environments.

Establish and maintain enterprise data modeling standards, naming conventions, and design best practices.

Partner with data engineering and architecture teams to optimize data structures for performance, scalability, and maintainability.

Business & Data Product Engagement

Collaborate with business stakeholders to understand business processes, KPIs, and reporting requirements.

Translate business requirements into governed and reusable enterprise data models.

Support the design and evolution of enterprise data products and semantic layers.

Drive consistency of business metrics and definitions across domains and reporting platforms.

Participate in solution design sessions and data architecture reviews to ensure alignment with business objectives.

Governance, Quality & AI Enablement

Partner with Data Governance teams to define master data, reference data, business glossaries, and metadata standards.

Incorporate data quality, lineage, and governance requirements into model design.

Support enterprise metadata management and catalog initiatives.

Design AI-ready data structures that support machine learning, generative AI, RAG, and agentic AI use cases.

Contribute to enterprise standards for data discoverability, reuse, and compliance.

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field.

8+ years of experience in Data Modeling, Data Architecture, or Enterprise Data Management.

Strong expertise in: Dimensional Modeling (Kimball) Enterprise Data Modeling, Data Vault Modeling Semantic Layer Design, Master and Reference Data Management

Advanced SQL skills and strong understanding of relational and analytical database concepts.

Hands-on experience with modern cloud data platforms such as: Snowflake, Google Big Query, Cloud Data Warehouses and Lakehouse architectures

Experience supporting enterprise analytics, reporting, and data product initiatives.

Strong understanding of data governance, metadata management, and data quality principles.

Excellent communication skills with the ability to work across business and technical teams.

8-12 years | Senior Data Modeler / Lead Data Modeler Benefits

We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

Make yourself a priority with flexible schedules, parental leave

Drive forward your career through professional development opportunities

Achieve your personal goals with our Employee Assistance Programme

Our commitment to you

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

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