Manager, Data Engineering

• Partner with stakeholders across the organization to understand business needs and translate them into well-scoped engineering work
• Execute against the strategy and roadmap for data products supporting Guest experiences, and contribute ideas that help shape it
• Lead a team of engineers day-to-day, balancing delivery against plans with the growth and development of individual team members
• Reinforce a strong culture of best practices and standards in data and engineering
• Serve as a technical resource on delivery practices, able to speak to capabilities and processes with engineers and partners alike
• Support data collection strategies and onboarding processes that enable improved data capabilities while adhering to data privacy requirements
• Stay current on product direction for applicable technologies to understand how shifts in the consumer privacy landscape may affect the Guest data strategy
• Build and improve pipelines and processes handling consumer data, ensuring freshness, completeness, security, and privacy
• Report to a Senior Manager or Director within the organization and collaborate with internal segment partners and technical peers across the company

Requirements

• Minimum of 8+ years related work experience, including 3+ years’ experience leading or mentoring engineers
• Solid working knowledge of Data Architecture, Data Warehousing, Advanced Analytics, and Data Science implementations
• Experience with Data Warehouse platforms such as Snowflake and BigQuery, with strong working knowledge of the Snowflake Platform
• Familiarity with Data Lakehouse architectures and formats/standards, such as Parquet and Iceberg
• Experience designing or maintaining automated, highly available ETL/ELT big data pipelines at scale
• Experience with data transformation and orchestration tools such as dbt and Airflow
• Familiarity with data quality practices and tooling such as Data Dog and Anomalo
• Familiarity with data security and privacy regulations
• Strong verbal and written communication skills, with the ability to present clearly to both technical and non-technical audiences
• A team player with vision, passion, discipline, and integrity
• Demonstrated inclusive and collaborative leadership that embraces diverse thought; experience developing engineers on a team
• Ability to operate effectively in a matrixed organization where partnership and influence support success
• Ability to work efficiently in a fast-paced and changing environment
• Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Core Competencies

Demonstrates expertise in Data Architecture, Data Warehousing, and Advanced Analytics, with a strong focus on leading engineering teams and implementing data strategies that prioritize security and privacy. Proficient in building and maintaining scalable ETL/ELT pipelines and fostering a culture of best practices in data engineering.