Consumer Data Engineering Lead
Mondelēz International
full-time
Posted on:
Location Type: Office
Location: East Hanover • New Jersey • 🇺🇸 United States
Visit company websiteSalary
💰 $117,400 - $161,425 per year
Job Level
Senior
Tech Stack
AzureBigQueryCloudETLGoogle Cloud Platform
About the role
- Oversee the regional MarTech landscape from a tech standpoint, ensuring platform reliability, integration, and performance
- Act as the technical point of contact for global digital marketing product rollouts and support
- Collaborate with global product and engineering teams to align on architecture, deployment, and enhancements
- Oversee System Integration Testing (SIT) execution, including test plan approval, defect management, and quality gate enforcement
- Ensure IT Operations setup is fully implemented in partnership with Global Product Team, including monitoring, alerting, and support procedures
- Manage technical issue resolution, documentation, and user enablement for regional stakeholders
- Align on key data quality monitoring scope and process, implementing data quality metrics and automated validation checks
- Maintain comprehensive technical documentation and knowledge base for the platform
- Ensure platforms comply with security, privacy, and Responsible AI principles
- Support implementation of new features or tools by coordinating across business and IT teams
- Identify and manage technical debt with prioritized remediation plans
- Direct interactions with Architecture, Application/Platform, and Technical Product teams to guide technology selections, favoring scalable and cost-effective solutions.
Requirements
- 5–7 years of experience in marketing technology, IT solution delivery, or digital platform support
- Technical knowledge of CDPs, CRM, CMS, DAM, media platforms, and marketing data flows
- Proven experience supporting or delivering regional or global digital products
- Strong troubleshooting, integration, and communication skills
- Experience working in cross-functional and multi-market environments
- Familiarity with cloud environments (e.g., GCP, Azure), APIs, and data privacy practices preferred
- Proven hands-on experience in architecting and deploying scalable cloud-based solutions for data processing, reporting, and analytics
- Proven skills in data integration techniques, ETL processes, and familiarity with APIs and web services for connecting disparate data sources in a secure and efficient manner
- Proven experience in leading technical teams and managing complex IT projects from conception through to implementation, ensuring alignment with strategic business objectives
- Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth
- Strategic and analytical thinker, setting technical direction, prioritizing projects, and mobilizing teams to deliver innovative solutions
- Familiarity with GCP's analytics and machine learning services, including BigQuery, Dataflow, AI Platform
Benefits
- health insurance
- wellness and family support programs
- life and disability insurance
- retirement savings plans
- paid leave programs
- education related programs
- paid holidays
- vacation time
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
CDPsCRMCMSDAMdata integration techniquesETL processescloud-based solutionsdata processingreportinganalytics
Soft skills
troubleshootingintegrationcommunicationcross-functional collaborationstrategic thinkinganalytical thinkingteam leadershipproject managementuser enablementlifelong learning