This opportunity is suited to a technical professional who can lead work across customer identity hierarchy, customer-spine architecture, and identity-resolution frameworks in a remote environment. The role focuses on improving matching quality, reducing identity drift, and supporting golden layer integration through graph techniques, record linkage, fuzzy matching, and ML-based identity resolution. This position offers the chance to contribute to a high-impact data and platform engineering programme with a strong emphasis on scalable, governed data solutions.
Required Skills:
- Graph and entity-resolution techniques
- Record linkage
- Fuzzy matching
- ML-based identity resolution
- MLOps
- Feature stores
- Customer Master and MDM
Preferred Qualifications:
- Experience with governed customer identity hierarchy
- Experience improving customer-spine architecture
- Experience with model-based matching where deterministic rules are insufficient
- Experience defining or improving matching-quality metrics
- Experience supporting golden layer integration
- Experience building reusable identity-resolution frameworks
- Experience reducing identity drift
About Airswift:
Airswift is an international workforce solutions provider within the energy, process and infrastructure industries. Airswift serves as a strategic partner to clients, offering a turnkey workforce solution to capture and deliver the top talent needed to complete successful projects by aligning with unique project needs. With over 1000 employees and 9,000 contractors operating in over 60 countries, Airswift's geographical reach and pool of talent available is unmatched in the industry.