Position Details
About this role
This role engineers marketing and digital data solutions for Marriott’s Marketing and Digital Data Platforms Owned Pod, enabling enterprise personalization and campaign optimization. The senior engineer will design and implement data platform capabilities, ensure governance and security compliance, and help modernize systems through cloud migration and automated data workflows.
Key Responsibilities
- Design and implement marketing and digital data solutions for enterprise-scale personalization and analytics
- Collaborate with marketing, product, and technology teams to translate business requirements into technical solutions
- Ensure compliance with data governance and security standards across marketing data platforms
- Optimize system performance and reliability via proactive monitoring and tuning
- Drive modernization initiatives including cloud migration and automation of data workflows
Technical Overview
You will build large-scale distributed systems and APIs using modern frameworks such as Java and Spring Boot, running on cloud platforms (AWS, Azure, or GCP) with containerization (Docker, Kubernetes). The work includes optimizing performance and reliability with monitoring and tuning, and enforcing data governance, security, and compliance across marketing data platforms.
Ideal Candidate
The ideal candidate is a senior data engineer with 7+ years of software engineering and data platform development experience, strong cloud expertise across AWS (Amazon Web Services), Azure, or GCP (Google Cloud Platform), and containerization experience with Docker and Kubernetes. They build large-scale distributed systems and APIs using Java and Spring Boot (or equivalents) while ensuring data governance, security, and compliance. They can collaborate across marketing, product, and technology teams and mentor engineering teams.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have 7+ years of experience in software engineering and data platform development, Must have strong experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes), Must have strong understanding of data governance, security, and compliance standards, Must have a Bachelor's degree in Computer Science, Data Engineering, or related field
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