Overview
A skilled Data Modeling, Content & Data Quality Engineer is needed to design, build and scale semantic and data quality frameworks ensuring reliable, consistent and business-aligned data assets across the company.
Key Responsibilities
- Domain Modeling: Design and implement subject-area data models to standardize business representation across domains.
- Metric Dictionary: Define and maintain a comprehensive metric dictionary with consistent business logic and calculation standards.
- Data Quality & Lineage: Develop and enforce data quality frameworks, monitor key KPIs, and manage data lineage for transparency and trustworthiness.
- Data Services: Deliver curated data views and Gold-layer services that are easily consumable by analytics, product, and business teams.
Requirements
- 3–6 years of experience in data modeling and data architecture.
- Proficiency with large-scale data warehouses.
- Hands-on experience in data quality management and data governance practices.
- Strong SQL skills and experience building semantic models and business-facing data assets.
- Ability to collaborate with cross-functional teams to align on business logic and data definitions.
Benefits
- Strategic leadership role in building and scaling a global crypto exchange from the ground up.
- Opportunity to shape the culture and operational backbone of a company at the forefront of digital asset trading.
- Growth potential in a leadership team with a clear roadmap for international expansion.