Summary
We are seeking a meticulous and skilled Senior Data Engineer to design, build, and optimize data architectures supporting our Customer Data Platform (CDP). This role focuses on developing reliable data pipelines, ensuring seamless data integration, and maintaining data accuracy and compliance across systems.
Key Responsibilities
- CDP Data Architecture: Contribute to the design and implementation of scalable end-to-end CDP data architectures aligned with business needs.
- Data Mapping & Integration: Define XDM schemas and lead integration efforts across Azure, CRM systems, marketing platforms, and other data sources.
- ETL Development: Build, manage, and refine ETL workflows to ensure efficient data extraction, transformation, and loading.
- Performance Optimization: Continuously enhance data pipeline performance, support batch processing, and improve data flow efficiency.
- Data Quality & Transformation: Implement rigorous data cleansing, transformation, and validation to uphold data accuracy and integrity.
- Platform Support: Collaborate with technical leads to support feature enhancements and platform upgrades.
- Documentation: Create and maintain clear, comprehensive documentation for data workflows, integration processes, and onboarding procedures.
- Monitoring & Governance: Monitor pipeline health and enforce data governance policies and compliance standards.
Qualifications
- Bachelors degree in Computer Science, Data Engineering, or a related field.
- Proven experience as a Data Engineer, ideally within a CDP or MarTech environment.
- Hands-on experience with data integration tools and platforms, particularly Azure and CRM systems.
- Proficiency in ETL development, data transformation techniques, and pipeline optimization.
- Familiarity with XDM schema design and data governance frameworks.
- Strong problem-solving abilities and experience working in cross-functional teams.
- Excellent written and verbal communication skills, with attention to technical documentation.