Lead Data Engineer - CDP

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. We help organisations solve complex business challenges by combining deep domain understanding with modern data and AI capabilities. Our teams work across strategy, analytics, engineering, and product delivery to create scalable, high-value solutions that improve decision-making, efficiency, and growth. About The Role We are looking for a senior, client-facing Twilio Segment CDP Solution Architect to lead the architecture and technical delivery of a high-scale customer data platform for a major digital consumer business. The programme connects real-time web, mobile and server-side behaviour with Snowflake-based customer intelligence, deterministic identity resolution, audience activation and low-latency personalisation. This is not platform administration or advisory-only position. You will own critical architecture decisions, translate business and marketing use cases into scalable data and identity patterns, guide multi-disciplinary engineering teams through implementation, and represent the solution with senior Product, Marketing, Data Engineering, Enterprise Architecture, Privacy and Security stakeholders. The environment includes Twilio Segment Connections, Protocols, Unify, Engage, Functions, Profiles Sync, Reverse ETL and Profile API; Snowflake; Kafka or equivalent event streaming; web and mobile SDKs; server-side APIs; GraphQL/API gateway patterns; Braze; Cordial; dbt and enterprise observability tooling. What You Will Do Define the target-state Segment architecture, integration patterns, environment strategy, security boundaries, non-functional requirements and implementation guardrails. Design dual-path event ingestion across Segment SDKs, server-side sources, Kafka and Snowflake, including schema alignment, deduplication, event ordering, anonymous-identifier continuity and high-volume operating