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Responsible for designing and delivering scalable data pipelines and data solutions for the Marketing & Digital (Paid / Owned) domain, enabling personalization, campaign optimization, and enterprise analytics. This role contributes to the development of high-quality, governed data products on Marriott’s cloud-native data platform (Snowflake, Airflow, AWS).
Job Responsibility
Design and implement end-to-end data pipelines (ingestion, transformation, and delivery) using Airflow and Snowflake to support marketing data use cases
Develop and optimize data models and curated datasets to enable analytics, reporting, and downstream data products
Collaborate with engineering, product, and business teams to translate requirements into scalable data solutions aligned with platform standards
Ensure data quality, governance, security, and compliance across pipelines and datasets
Improve performance, reliability, and cost efficiency of Snowflake workloads and orchestration workflows
Contribute to platform modernization efforts, including automation, standardization, and reusable pipeline frameworks
Support and mentor engineers by promoting best practices in data engineering, testing, and deployment
Requirements
Strong experience building cloud-based data solutions (AWS + Snowflake preferred)
Hands-on expertise in data pipeline orchestration (Airflow) and modern ETL/ELT patterns
Advanced proficiency in SQL and data modeling for analytics and reporting use cases
Solid understanding of data governance, quality, and security principles
Experience working with large-scale, distributed data systems supporting analytics or personalization
Strong collaboration skills with ability to work across engineering, product, and business teams