Senior Customer Data Platform (CDP) Engineer

Role Description

•             Configure and maintain CDP data models, audience/segment definitions, and identity resolution.

•             Build and maintain CDP integrations with Databricks/Delta Lake (zero-copy access patterns).

•             Design and maintain event streaming integration using AWS MSK (Kafka), including external publishing.

•             Build, configure, and maintain destination connectors to Adobe Campaign Classic (email), Airship (push), and Infobip (SMS).

•             Build and support journeys/orchestration logic, including governance and suppression across overlapping member experiences.

•             Support integration work for experimentation/personalization layers (e.g., Optimizely, Bloomreach) consuming CDP-supplied segmentation.

•             Build ingestion pipelines for engagement feedback loops (delivery/engagement events flowing back into Databricks).

•             Scope and deliver platform enhancements as new use cases, channels, audiences, or business requirements emerge.

•             Partner with product/marketing stakeholders to translate business requirements into CDP configuration and logic.

•             Triage, troubleshoot, and resolve platform issues raised by business/marketing stakeholders (e.g., segment/audience errors, sync failures, journey/campaign delivery issues, data discrepancies).

•             Perform root-cause analysis on production issues and implement fixes or workarounds.

•             Monitor platform health (sync jobs, journey runs, data freshness, audience counts) and proactively flag/address problems.

•             Maintain documentation for platform configuration, data flows, API contracts, and known issues/resolutions.

•             Participate in vendor working sessions to define technical requirements and surface product gaps.

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Required Skills

CDP & MarTech Platforms

•             5+ years working directly in/on a CDP or similar MarTech data platform (configuration, activation, and support).

•             Audience/segment building.

•             Identity resolution.

•             Journey/orchestration tooling.

•             Customer data activation.

•             Personalization.

•             Audience management.

Databricks & Data Platforms

•             Strong Databricks experience.

•             Delta Lake experience.

•             Unity Catalog.

•             Data-sharing connectivity.

•             Build and maintain CDP integrations with Databricks/Delta Lake.

•             Build ingestion pipelines for engagement feedback loops.

AWS & Streaming

•             AWS experience.

•             AWS MSK/Kafka.

•             Event streaming integration.

•             External publishing.

Marketing Platforms

•             Adobe Campaign Classic.

•             Adobe Campaign workflows.

•             Campaign/journey setup.

•             API-based integration.

•             Airship.

•             Infobip.

API & Integration

•             REST API integration.

•             API-first architecture.

•             Composable architecture.

•             Connector-based integration.

•             API contracts.

•             Integration with marketing execution platforms (ESP, push, SMS providers).

Web SDK & Tracking

•             Experience implementing/maintaining a CDP Web SDK or similar client-side event tracking SDK (JavaScript).

•             Behavioral/event data capture.

Experimentation & Personalization

•             Optimizely.

•             Bloomreach.

•             CDP-supplied segmentation.

Production Support & Operations

•             Strong troubleshooting skills.

•             Root-cause analysis.

•             Production support.

•             Platform issue resolution.

•             Sync failure resolution.

•             Journey/campaign delivery issue resolution.

•             Monitoring platform health.

•             Data freshness monitoring.

•             Audience count monitoring.

Documentation

•             Strong technical documentation skills.

•             Platform configuration documentation.

•             Data flow documentation.

•             Known issues and resolution documentation.

Stakeholder & Vendor Collaboration

•             Partner with product/marketing stakeholders.

•             Translate business requirements into CDP configuration and logic.

•             Participate in vendor working sessions.

•             Define technical requirements.

•             Surface product gaps.