Marketing Enablement Platform Engineer

Carnival Corporation•Miami, FL

4d•Hybrid

About The Position

The Marketing Enablement Platform Engineer designs, configures, develops, and supports the marketing technology capabilities that power consumer marketing at Princess Cruises. Reporting to the Marketing Enablement leader, this hands-on individual contributor builds and maintains solutions across Adobe Experience Platform (AEP), Real-Time CDP (RTCDP), Adobe Journey Optimizer (AJO), and Adobe Campaign, along with connected data, integration, and activation services. The role develops XDM schemas, identity and audience configurations, customer journeys, campaign workflows, APIs, and batch and streaming data integrations. It monitors platform health, troubleshoots data and activation issues, supports production releases, and applies governance, privacy, and engineering standards to help cruise and casino marketing teams deliver reliable, measurable personalization at scale. The position is responsible for building and operating customer-data, journey-orchestration, campaign, and integration capabilities within the Consumer Marketing technology stack. Architecture standards, roadmap authority, vendor strategy, and budget ownership remain with Marketing Enablement leadership. The engineer addresses moderately complex to complex technical issues, traces data across systems, diagnoses defects, implements durable fixes, and considers downstream impacts. Reliable engineering supports Princess’s ability to target, personalize, automate, and measure consumer communications, improving speed to market, data quality, platform reliability, and the scale of personalized guest experiences. The position is classified as in-office. Employees are required to work from a designated Princess office Monday through Thursday and may work from home on Fridays. Less than 25% non-shipboard travel is likely. Work may require working inside and/or outside with exposure to changing climate and/or operating machinery. Work is primarily in a climate-controlled environment with minimal safety or health hazard potential.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent practical experience.
4+ years in marketing technology, software engineering, data engineering, CRM technology, or enterprise-platform delivery.
2+ years of hands-on experience with AEP, RTCDP, AJO, Adobe Campaign, or a comparable enterprise CDP/journey-orchestration platform.
Hands-on experience with XDM/data modeling, identity, audience segmentation, and customer profile concepts.
Demonstrated experience delivering APIs, integrations, ETL/ELT pipelines, or customer-data solutions.
Strong SQL skills and working proficiency in at least one programming language such as Python, Java, or JavaScript.
Experience supporting production systems, testing releases, troubleshooting defects, and working in an Agile engineering environment.
Hands-on knowledge of AEP, RTCDP, AJO, and Adobe Campaign; XDM schemas, customer profiles, identity resolution, segmentation, destinations, consent, and governance; API and integration patterns; batch and streaming data processing; and cloud data platforms.
Skills in REST APIs, JSON, OAuth, SDKs, testing, debugging, monitoring, Git, CI/CD fundamentals, technical documentation, and communication across marketing and engineering audiences.
Ability to solve technical issues involving data ingestion, identity resolution, audience qualification, journey execution, campaign workflows, APIs, and downstream activation.

Nice To Haves

Adobe certification in Experience Platform, Real-Time CDP, Journey Optimizer, or Campaign.
Experience with Adobe Web SDK/Data Collection, Customer Journey Analytics, Adobe Analytics, or Adobe Target.
Experience with Snowflake or a comparable cloud data warehouse and modern ETL/ELT patterns.
Experience with Salesforce, MuleSoft, Kafka, Informatica, dbt, Airflow, or comparable enterprise integration technologies.
Experience with AI-assisted software development, Adobe decisioning/AI capabilities, predictive personalization, or experimentation.
Travel, hospitality, loyalty, casino, or other high-volume B2C marketing experience.

Responsibilities

Configure and maintain AEP schemas, datasets, identities, merge policies, profiles, audiences, sources, and destinations.
Build AJO journeys, events, decisioning logic, actions, suppressions, and cross-channel activation workflows.
Develop and maintain Adobe Campaign workflows and scheduled lifecycle campaigns.
Support platform environments, configuration changes, releases, upgrades, and approved proofs of concept.
Build and support integrations between Adobe platforms and web, app, CRM, reservations, casino, contact-center, and cloud data platforms.
Develop REST API, SDK, streaming, batch, and ETL/ELT solutions.
Use SQL and Python, Java, or JavaScript for transformation, validation, automation, and troubleshooting.
Implement data-quality checks, reconciliation, logging, and alerting.
Translate campaign and customer-experience requirements into technical designs and working configurations.
Build audiences, journeys, campaign logic, templates, personalization rules, and activation destinations.
Support testing, experimentation, quality assurance, and deployment.
Diagnose qualification, identity, decisioning, deliverability, and channel-execution issues.
Monitor ingestion, identity processing, audience qualification, journey execution, and destination performance.
Triage incidents, perform root-cause analysis, and work with Adobe or integration partners to resolve defects.
Maintain configuration documentation, data mappings, deployment records, runbooks, and recovery procedures.
Participate in code and configuration reviews, version control, CI/CD practices, and Agile delivery ceremonies.
Implement approved standards for naming, access, consent, retention, privacy, and data minimization.
Identify opportunities to improve performance, reduce manual work, and simplify platform configuration.
Use approved AI-assisted development tools and Adobe AI capabilities to improve engineering productivity, testing, personalization, and experimentation.
Develop and test AI-enabled or decisioning proofs of concept under platform architecture and product direction.
Translate marketing requirements into maintainable technical solutions, manage concurrent work items, troubleshoot production issues, collaborate across teams, and work with appropriate independence within established architecture standards.