Senior Data Engineer

Enterprise Data Architecture Strategy

• Collaborate with architects and stakeholders to design and implement robust enterprise data solutions aligned with business goals.
• Ensure architectural consistency across data platforms, pipelines, and storage layers.

ETL Development Orchestration (Matillion)

• Design, build, and maintain scalable ETL pipelines using Matillion for Snowflake.
• Optimise data ingestion and transformation workflows for performance, reliability, and cost-efficiency.

Data Transformation Modeling

• Develop complex data transformation logic to support analytics, reporting, and machine learning use cases.
• Implement and maintain dimensional models, star/snowflake schemas, and normalised structures.

Point-in-Time Data Storage

• Architect and implement solutions for capturing and storing point-in-time snapshots of data for audit, historical analysis, and compliance purposes.

Cloud-Native Platform Expertise (Snowflake)

• Extensive hands-on experience with Snowflake, including:
  • Schema design, performance tuning, and query optimization.
  • Role-based access control and data security best practices.
  • Integration with BI platforms (ThoughtSpot) and third-party tools.

Data Governance Quality

• Implement data quality checks, lineage tracking, and metadata management.
• Ensure compliance with data protection regulations and internal policies.

Collaboration Reporting

• Work closely with business and data analysts to deliver reliable and timely data products.