✦ Luna Orbit — Data & Analytics

FLEX Senior Manager - Senior Data Engineer - Marketing Owned

at Marriott International

📍 Bethesda, MD, United States Hybrid Posted April 11, 2026
Type Temp-to-Hire
Experience senior
Exp. Years 7+ years
Education Bachelor's degree in Computer Science, Data Engineering, or related field
Category Data & Analytics

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.

  • 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

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.

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.

Bachelor's degree in Computer ScienceData Engineeringor related field.7+ years of experience in software engineering and data platform development.Strong experience with cloud platforms (AWSAzureor GCP) and containerization (DockerKubernetes).Proficiency in building large-scaledistributed systems and APIs using modern frameworks (e.g.JavaSpring Bootor equivalent).Strong understanding of data governancesecurityand compliance standards.Excellent collaboration and communication skills to work across marketing and technology teams.
DockerKubernetesAWSAmazon Web ServicesAzureGCPGoogle Cloud PlatformJavaSpring Boot
AWSAzureGCPDockerKuberneteslarge-scale distributed systemsAPIsJavaSpring Bootdata governancesecuritycompliance standardsmonitoringtuningcloud migrationautomation of data workflowsmentoring
AWSAmazon Web ServicesAzureGCPGoogle Cloud PlatformcontainerizationDockerKubernetessoftware engineeringdata platform developmentlarge-scaledistributed systemsAPIsJavaSpring Bootdata governancesecuritycompliance standardsmarketing and digital data solutionsenterprise-scale personalizationanalyticsmonitoringtuningcloud migrationautomation of data workflowscodingtestingdeployment
excellent collaboration and communication skillsmentor engineering teamsbest practices promotioncollaborate with marketingproductand technology teamsdrive modernization initiatives
Industry SaaS
Job Function Build and modernize senior-level marketing data platform solutions
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Azure, Google Cloud Platform, Docker, Kubernetes, Java, SQL / PostgreSQL, Data & Analytics
FLEX Senior Manager - Senior Data Engineer - Marketing OwnedSenior Data Engineerdata platform developmentsoftware engineeringcloud platforms (AWSAzureor GCP)AWSAmazon Web ServicesGCPGoogle Cloud PlatformcontainerizationDockerKuberneteslarge-scaledistributed systemsAPIsJavaSpring Bootdata governancesecuritycompliance standardsmarketing and digital data solutionsenterprise-scale personalizationanalyticsmonitoring and tuningcloud migrationautomation of data workflowsmentor engineering teams

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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