Senior Manager, Senior Data Engineer – Paid Marketing

Marriott International invites you to join as a Senior Manager, Senior Data Engineer – Paid Marketing. You will design and deliver scalable data pipelines and data solutions within the Marketing & Digital domain, powering personalization, campaign optimization, and enterprise analytics on Marriott's cloud-native data platform (Snowflake, Airflow, AWS). This role supports remote work with a Bethesda, Maryland option, and compensation varies by location: Remote from $100,400 to $181,000 per year; Bethesda, MD from $110,400 to $198,900 per year.

Benefits

• 401(k) plan
• stock purchase plan
• discounts at Marriott properties
• commuter benefits
• employee assistance plan
• childcare discounts
• medical coverage
• dental coverage
• vision coverage
• health care flexible spending account
• dependent care flexible spending account
• life insurance
• disability insurance
• accident insurance
• adoption expense reimbursements
• paid parental leave
• educational assistance

Responsibilities

• Design, build, and operate end-to-end data pipelines for marketing use cases, covering ingestion, transformation, and delivery with Airflow and Snowflake
• Create and optimize data models and curated datasets to enable analytics, reporting, and downstream data products
• Partner with engineering, product, and business teams to translate requirements into scalable data solutions aligned with platform standards
• Maintain data quality, governance, security, and regulatory compliance across pipelines and datasets
• Improve performance, reliability, and cost efficiency of Snowflake workloads and orchestration workflows
• Support platform modernization initiatives, including automation, standardization, and reusable pipeline frameworks
• Mentor engineers and promote best practices in data engineering, testing, and deployment

Requirements

• Extensive experience building cloud-based data solutions, with AWS and Snowflake preferred
• Hands-on proficiency with data pipeline orchestration using Airflow and modern ETL/ELT patterns
• High proficiency in SQL and data modeling for analytics and reporting
• Strong grasp of data governance, quality, and security principles
• Experience with large-scale distributed data systems supporting analytics or personalization
• Excellent collaboration skills across engineering, product, and business teams

Technologies

• Airflow
• Snowflake
• AWS
• SQL