
Enterprise Data Model Designer
5 days ago
Senior Enterprise Data Architect
">Are you an experienced data architect looking for a new challenge? Do you have a passion for designing scalable, modular data models that drive business success?
">As a Senior Enterprise Data Architect, you will be responsible for leading the design and implementation of our enterprise data models, ensuring they are aligned with business objectives and meet the needs of multiple stakeholders.
">Key responsibilities include:
">- ">
- Designing and implementing scalable and modular data models for cloud-based platforms.">
- Defining and documenting data model changes, embedding business logic into structures.">
- Leading data modeling workshops to gather requirements and align business, BI, and engineering teams.">
- Providing technical guidance and reviewing developer outputs.">
- Ensuring data quality, governance compliance, and semantic consistency.">
You will work closely with cross-functional teams to ensure accurate embedding of business logic, semantic consistency, and creation of high-performing, secure, and compliant data structures. If you have a strong background in data modeling, experience with cloud-based platforms, and excellent communication skills, we encourage you to apply.
">What We Offer
">A career path within a global, high-growth environment.
">A collaborative and vibrant work culture focused on innovation and transformation.
">Competitive compensation and benefits package.
">Opportunities for personal and professional growth in leadership, technical, and commercial skills.
">An opportunity to make meaningful impact through data-driven solutions.
">Requirements
">5+ years of experience in data modelling, including 3+ years in a senior/lead role.
">Strong expertise in designing enterprise-level data models on cloud data platforms (Snowflake preferred).
">Proficiency in SQL, including Snowflake-specific features (streams, tasks, dynamic tables).
">Knowledge of data warehouse design patterns (dimensional, Data Vault, etc.).
">Hands-on experience with DevOps practices Familiarity with metadata management, data lineage, and cataloguing tools.
">Strong knowledge of data privacy, governance, and RBAC best practices.
">Excellent communication, stakeholder management, and workshop facilitation skills.
">Bachelors degree in Computer Science, Data Management, or related field.
">Desired Attributes
">Consultative and collaborative mindset.
">Strong problem-solving skills with attention to detail.
">Positive attitude, adaptability, and ability to work in fast-paced environments.
">High levels of energy, determination, and a sense of ownership.
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