Position Details

Type Full-Time

Experience executive

Exp. Years 8+ years

Education Bachelor's degree in Computer Science, Information Systems, or related field

Category System Administration

About this role

Define and implement Marriott’s enterprise data architecture strategy and roadmap. Lead architecture governance, set standards for data integration and interoperability, and partner across teams to deliver secure, scalable data platforms that enable analytics and operational excellence.

Key Responsibilities

Define and maintain enterprise data architecture strategy and roadmap
Design scalable, secure, high-performing data solutions
Establish architecture standards, patterns, and best practices for data integration and interoperability
Provide architectural oversight for major data initiatives and ensure compliance with governance policies
Mentor and guide technical teams on architecture principles and practices

Technical Overview

Own enterprise data architecture with a focus on cloud-native architectures, data modeling, and interoperability. Use modern data technologies including Snowflake, Databricks, and BigQuery on AWS, Azure, and GCP, while ensuring strong data governance, security, and compliance.

Ideal Candidate

The ideal candidate is a senior data architecture leader with 8+ years designing enterprise data platforms and solution architectures. They have deep experience with data modeling, integration patterns, and cloud-native architectures using AWS, Azure, GCP, Snowflake, Databricks, and BigQuery, along with strong data governance, security, and compliance expertise.

Must-Have Skills

Bachelor's degree in Computer ScienceInformation Systemsor related field8+ years of experience in data architectureenterprise data platformsor solution designExpertise in data modelingintegration patternsand architecture frameworksExperience with cloud platforms (AWSAzureGCP) and modern data technologies (SnowflakeDatabricksBigQuery)Strong understanding of data governancesecurityand compliance standards

Tools & Platforms

AWSAmazon Web ServicesAzureGCPGoogle Cloud PlatformSnowflakeDatabricksBigQuery

Required Skills

data architectureenterprise data architecture strategydata modelingintegration patternsarchitecture frameworkscloud platforms (AWSAzureGCP)SnowflakeDatabricksBigQuerydata governancesecuritycompliance standardscloud-native architecturesinteroperabilitydata integrationarchitecture governancescalabilityperformance

Hard Skills

data architectureenterprise data platformssolution designdata modelingintegration patternsarchitecture frameworkscloud platformsAWSAmazon Web ServicesAzureGCPGoogle Cloud PlatformSnowflakeDatabricksBigQuerydata governancesecuritycompliance standardscloud-native architecturesinteroperabilitydata integrationscalable data solutionshigh-performing data solutionsarchitectural governancedata platform roadmap

Soft Skills

excellent communicationstakeholder managementmentoringguiding technical teamscollaborates across technology and business teams

Industry & Role

Industry Hospitality

Job Function Lead enterprise data architecture strategy, governance, and cloud-native data platform design for Marriott.

Role Subtype Cloud Architect

Tech Domains Amazon Web Services, Azure, Google Cloud Platform, Data & Analytics, Cloud & Infrastructure

Keywords for Your Resume

Director - Data Technology Architectdata architectureenterprise data architecture strategyenterprise data platformsdata modelingintegration patternsarchitecture frameworkscloud-native architecturesinteroperabilitydata governancesecuritycompliance standardsAWSAmazon Web ServicesAzureGCPGoogle Cloud PlatformSnowflakeDatabricksBigQueryarchitecture governancedata platform roadmapdata integrationscalabilityperformance

Deal Breakers

Bachelor's degree in Computer Science, Information Systems, or related field, 8+ years of experience in data architecture, enterprise data platforms, or solution design, Must have expertise in data modeling, integration patterns, and architecture frameworks, Must have experience with cloud platforms (AWS, Azure, GCP) and modern data technologies (Snowflake, Databricks, BigQuery)

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