Lead Data Engineer - Solutioning & Data Platforms

1976 Walt Disney Attractions Technology LLC; Orlando (FL); On-site; USD 148,300 - 198,800; Full time

Job summary

Disney Experiences Technology (DXT) is seeking a Lead Data Engineer - Solutioning in Orlando, FL to partner with product managers and architects. The role focuses on translating requirements into scalable data solutions, designing data models, and guiding data architecture across environments.

You will drive data cleansing, transformation, and storage strategies using cloud and on‑premises approaches, with emphasis on automation and advanced analytics.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or equivalent.
• Minimum 7 years of related work experience.
• Strong proficiency in SQL, Python, Java, and Scala with automation focus.

Responsibilities

• Serve as the primary technical counterpart to Product Managers, engaging early in the intake process to assess feasibility.
• Translate business requirements and product requests into well-defined data solution briefs and data sourcing strategies.
• Partner with Data Architects to translate solution requirements into architectural patterns and data model designs.
• Lead estimation and planning activities, providing sizing guidance and technical risk assessment for product intake requests.
• Develop data architectures to gather, manage, and transform both structured and unstructured data from diverse sources.

Skills

SQL

Python

Java

Scala

Education

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering

Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering

Tools

Snowflake

Databricks

Oracle

MongoDB

DynamoDB

Redis

AWS

GCP

Lambda

Kinesis

DMS

Managed Flink

Spark

Airflow

dbt

Job description

Disney Experiences Technology (DXT) is seeking a Lead Data Engineer - Solutioning in Orlando, FL to partner with product managers and architects. The role focuses on translating requirements into scalable data solutions, designing data models, and guiding data architecture across environments.

You will drive data cleansing, transformation, and storage strategies using cloud and on‑premises approaches, with emphasis on automation and advanced analytics.