onsite
Data Architect - Infinity Quest UK
Software Engineer
Lead the design and evolution of a modern, secure data platform that fuels real‑time analytics, AI, and machine learning for fleet payment solutions, driving fraud detection, risk scoring, and predictive insights.
About the role
Key Responsibilities
- Architect and maintain scalable data pipelines and lakehouse solutions on AWS, ensuring high availability and performance for real‑time analytics.
- Design data models and schemas that support advanced machine learning workflows, fraud detection, risk scoring, and spend optimization.
- Collaborate with data scientists, engineers, and product teams to translate business requirements into robust data architecture.
- Implement security, compliance, and governance controls across the data ecosystem.
- Continuously evaluate and adopt emerging data technologies to improve efficiency and insight generation.
Requirements
- Proven experience designing enterprise‑scale data architectures on AWS (Redshift, S3, Glue, Lake Formation).
- Strong proficiency in Python, SQL, and ETL tooling for data ingestion and transformation.
- Hands‑on knowledge of machine learning pipelines, model deployment, and feature engineering.
- Deep understanding of data modeling, dimensional design, and performance tuning.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlawsmachine learning