We are seeking a Senior Data Architect for a fixed 3-month contract with deep, hands-on experience designing and delivering Medallion Architecture and Customer 360 platforms. This is a technically demanding role that requires someone who has personally built unified customer data models, identity resolution layers and production-grade lakehouse solutions at enterprise scale, not simply designed them on paper. Job Description Responsibilities: Design the architecture and hands-on implementation of a Medallion architecture Design source-to-target mappings, data models, transformation logic and business rules for each layer of the medallion architecture. Implement identity resolution and crosswalk logic that links customer identifiers across different systems. Define semantic-layer business logic, governed metrics and KPI definitions for downstream analytics consumption. Productionize the end-to-end solution with data-quality checks, monitoring, orchestration and documentation. Partner with business stakeholders across marketing, operations, product and technology to translate requirements into technical delivery. Provide build ready requirements and artifacts to data engineers and analysts on medallion best practices, identity resolution patterns and data quality standards. Desired Skills and Experience Experience: Proven delivery of enterprise-scale Medallion Architecture, including Silver and Gold data models for business-ready analytics Hands-on experience taking data platforms from development to production, with strong quality, monitoring and operational standards Direct experience building customer identity resolution / crosswalk solutions, including deterministic and probabilistic matching Track record delivering a Customer 360 / single customer view, integrating CRM, digital, contact-centre and transactional data Strong capability in customer-centric data modelling, semantic layers and governed metrics as a single source of truth Experience modelling digital, behavioural and contact-centre data (e.g. GA4, Adobe, Genesys or similar) Advanced skills in Python, SQL and modern lakehouse platforms (Microsoft Fabric, Databricks or equivalent) Experience building automated, production-grade data pipelines with orchestration, data quality and governance controls Expertise in Power BI semantic models and executive reporting Desirable: experience in insurance or financial services, customer analytics or NLP/text analytics use cases