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Senior specialized CDP/Segment skills in a metro moderate applicant density.
CDP and Segment-focused identity engineering strongly limits cross-industry transferability.
Explicit senior years, required Segment experience, CDP implementations and certifications enforce strict filters.
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Lead and own architecture decisions and technical delivery of a high-scale customer data platform using Twilio Segment CDP for a major digital consumer business.
Translate business and marketing use cases into scalable data and identity patterns, guide multi-disciplinary engineering teams through implementation, and coordinate with senior stakeholders across Product, Marketing, Data Engineering, Architecture, Privacy, and Security.
Design and implement event ingestion, identity resolution strategies, real-time personalization, audience computation, data quality controls, cost-control strategies, and enterprise event taxonomy across web, mobile, and server-side environments.
8-12 years of experience in MarTech architecture, data engineering, or related enterprise technology roles.
3-5+ years of direct, hands-on Twilio Segment delivery experience with ownership of production architecture or implementation decisions.
Experience with at least two enterprise CDP implementations involving complex identity resolution or warehouse-connected profiles.
Proficiency in Twilio Segment Connections, Protocols, Unify, Snowflake architecture and SQL, Kafka or equivalent event streaming, JavaScript/TypeScript, plus at least one backend language such as Python, Java, or Go.
Experienced in designing and delivering complex customer data platforms with strong expertise in identity resolution and real-time data ingestion patterns.
Able to lead client-facing consulting sessions including discovery, workshops, risk management, and stakeholder alignment with senior business and technical teams.
Proven track record of hands-on delivery, architecture storytelling, mentoring engineers, and maintaining quality in distributed engineering environments with knowledge of privacy regulations and data security best practices.