Director, Data Engineering
USA - FL - Kirkman Point 2, United States
Full Time Executive-level / Director USD 202K - 272K
The Walt Disney Company
The mission of The Walt Disney Company is to be one of the world's leading producers and providers of entertainment and information.Job Posting Title:
Director, Data EngineeringReq ID:
10123392Job Description:
“We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.
Director, Data Engineering is responsible for Data Platform Engineering, Data Governance solutions and technical operations for data and analytics technology supporting DX.
This leadership position sits within the DX Data organization and reporting into the Vice President, Data.
What You Will Do:
Engineering and operations for business-critical data platforms
Developing, implementing and integrating software and automation to support data governance and compliance policies, as defined by legal/privacy teams, including DSAR automation, record retention, access control and quality monitoring and observability.
Responsible for ownership of the Disney Experiences data catalog
Engineering and sustainment of data consumption, analytics, visualization and BI tools
Operations and support of data pipelines and products, including incident, problem and change management and oversight of a large managed services team
Visionary thinking and industry expertise to continually evolve the DX data platform, governance and consumption strategy
What You Need:
12+ years related work experience
Advanced knowledge of Data Architecture, Data Warehousing, Advanced Analytics, and Data Science implementations
Experience across Data Warehouse platforms such as Snowflake and BigQuery, with expert level knowledge in the Snowflake Platform
Expertise with Data Lakehouse architectures and formats/standards, such as Parquet and Iceberg
Experience designing automated, highly available ETL/ELT big data pipelines at scale
Experience with data transformation and orchestration tools as well as dbt and AirFlow
Knowledge of data quality practices and tooling such as Datadog and Anomalo
Familiarity with data security and privacy regulations
Experience with Enterprise Data Governance, BI (Business Intelligence) consumption tools
Excellent verbal and written communication, compelling storytelling and presentation skills.
A team player with vision, passion, discipline, and integrity
Demonstrated inclusive and collaborative leadership that embraces diverse thought. Ability to develop geographically and otherwise diverse highly technical teams.
Proven ability to successfully operate in a highly matrix organization where partnership and influence are key drivers of success
Ability to work rapidly and efficiently in a fast paced and changing environment
Required Education:
Bachelor's degree in computer science, Information Systems or related equivalent experience.
Preferred Education:
Master’s degree in computer science, Information Systems or related equivalent experience.
#DISNEYTECH
The hiring range for this position in CA is $202,900.00 to $272,100.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.Job Posting Segment:
Technology & DigitalJob Posting Primary Business:
Emerging Tech & DataPrimary Job Posting Category:
Data EngineeringEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Orlando, FL, USAAlternate City, State, Region, Postal Code:
USA - CA - 1200 Grand Central Ave, USA - CA - Disneyland Service - Team Disney OfficeDate Posted:
2025-07-10Tags: Airflow Architecture Big Data BigQuery Business Intelligence Computer Science Data governance Data pipelines Data quality Data warehouse Data Warehousing dbt ELT Engineering ETL Parquet Pipelines Privacy Security Snowflake
Perks/benefits: Equity / stock options Salary bonus
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