Senior CDP Engineer

We are seeking a Senior CDP Engineer to lead the design, implementation, and optimization of enterprise-grade Customer Data Platform (CDP) solutions, with expertise in platforms such as Lytics, Optimizely, Twilio Segment, or other composable CDPs. This role will play a pivotal part in unifying customer data, architecting data flows, and enabling real-time personalization and experimentation across marketing and product ecosystems. You will partner closely with data engineering, marketing, product, privacy, and enterprise architecture teams to shape our data activation strategies and drive scalable, secure, and business-aligned implementations.

Responsibilities

• Architect, configure, and maintain robust CDP implementations (Lytics, Optimizely, Segment, BlueConic, etc. ).
• Lead the design of event taxonomies, identity resolution frameworks, and data unification logic across systems (CRM, analytics, POS, web, mobile, etc. ).
• Drive data integration pipelines using ETL/ELT tools (e. g., dbt, Fivetran, Airbyte, and orchestrate connections between CDP and key marketing tools (ESP, CMS, DMP, etc. ).
• Implement customer segmentation logic using behavioral, transactional, and demographic data to support real-time activation.
• Govern customer data schema, privacy compliance (GDPR/CCPA), and consent management integrations.
• Partner with marketing ops, product, and engineering to support cross-channel personalization, experimentation (e. g., Optimizely, Adobe Target), and customer journey orchestration.
• Define success metrics, implement data QA processes, and monitor data freshness, profile stitching accuracy, and system health.
• Provide mentorship to junior team members, lead stakeholder training, and evangelize CDP best practices across the organization.
  
  

• 5-7 years of experience in data engineering, martech, or analytics roles, with exposure to CDP or related platforms.
• Deep technical experience with Lytics, Optimizely Data Platform, Segment, or similar tools, including client/server-side data ingestion, identity resolution, and real-time decision-making.
• Strong hands-on expertise in SQL (BigQuery, Redshift, Snowflake), JSON, and REST APIs.
• Experience in building or managing customer data pipelines with tools like dbt, Apache Airflow, Fivetran, or Snowplow.
• Proficient in using Tag Management Systems (e. g., GTM, Tealium) and managing event instrumentation across digital properties.
• Solid understanding of data governance, consent management, and data privacy compliance (GDPR, CCPA).
• Ability to lead cross-functional discovery, translate business requirements into technical solutions, and prioritize CDP roadmap initiatives.
  
  

• Experience with composable CDP architectures and integrating with headless CMS, experimentation, and orchestration tools.
• Familiarity with customer journey design, predictive modeling, or RFM segmentation.
• Experience integrating CDP with tools like Braze, Salesforce Marketing Cloud, Iterable, or Amplitude.
• CDP or martech certifications (e. g., Lytics Architect, Optimizely Platform Expert, Segment Practitioner).
• Exposure to cloud infrastructure (AWS, GCP, or Azure) for hosting and processing customer data workloads.