Role Overview

We are building a high-integrity AWS cloud data platform to support global anti-counterfeit operations, combining physical item fingerprinting (optical labels), cryptography, and supply chain analytics.

The Data Engineer will work closely together with Laser and Optical Engineers to design and implement the encryption protocol, database structure, data ingestion pipelines, cloud-based core data infrastructure and analytics engine. This role requires strong experience in AWS cloud-based applications, database design, event-driven data pipelines, and data storage architecture.

Key Responsibilities

• Design and implement a scalable data architecture combining:
  • Event and data streaming
  • Data lake (object storage, e.g. S3)
  • Data warehouse (e.g. Snowflake)
  • Transactional database (SQL or similar)
• Define database architecture for item identity, provenance, and verification events
• Implement secure data handling practices, including:
  • Encryption at rest and in transit
  • Field-level encryption for sensitive data
  • Integration with KMS / HSM systems for key management
• Integrate with permissioned ledger systems (e.g. Hyperledger Fabric) for provenance anchoring
• Enable analytics use cases by:
  • Structuring data for efficient querying and reporting
  • Building curated datasets and feature stores
  • Support BI tools and dashboards (e.g. Power BI, Looker, Tableau)
  • Implement data access layers (APIs, views) with role-based controls
• Define and enforce:
  • Data validation rules
  • Monitoring and alerting for pipeline failures
  • Data quality metrics (completeness, consistency, accuracy)
• Maintain data catalogue and documentation