Lead Product Software Engineer - Data Foundation Platform

5014 Disney Entertainment & Sports LLC; Santa Monica (CA); On-site; USD 156,000 - 229,000; Full time

Job summary

Disney Entertainment & Sports LLC seeks a Lead Product Software Engineer to join the Data Foundation Platform, building cloud services used by data teams across Disney Entertainment and ESPN Technology, with a focus on data related to streaming and web-based businesses.

You will design shared libraries, collaborate with PMs and engineers, and help advance the AI knowledge graph and AI layer for Disney products.

Qualifications

• 7+ years software engineering experience on large projects.
• Strong algorithmic problem-solving
• Proficient in Python with ML libraries
• Proficient in AWS Bedrock, Snowflake Cortex, Databricks Genie
• Proficient in Data Engineering tools: Airflow, Spark, Databricks, Snowflake
• Strong scripting language experience

Responsibilities

• Contribute to maintaining, updating, and expanding the AI intelligence layer (Snowflake Cortex, AWS Bedrock).
• Design, architect, and code shared libraries for consistent data pipeline functionality across the Data organization.
• Collaborate with product managers, architects, and engineers to advance Data & AI strategy.
• Document internal/external standards for configurations, naming conventions, partitioning, and more.
• Ensure high operational efficiency and quality of AI projects.
• Participate in agile/scrum ceremonies to improve team processes.

Skills

Large-scale software engineering

Algorithmic problem-solving

Python

AWS Bedrock

Snowflake Cortex

Databricks Genie

Data engineering: Airflow

Data engineering: Spark/Databricks/Sn

Education

Bachelor’s or Master’s in CS or related

Tools

Airflow

Spark

Databricks

Snowflake

Job description

Lead Product Software Engineer - Data Foundation Platform

Job Summary

We're looking for a Lead Software Engineer to join our Data Foundation Platform team. We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.). We are looking for a rockstar engineer with experience building AI tools and services that help build the knowledge graph and the AI intelligence layer for a suite of Disney products. The successful candidate will have a passion for technology and solid coding skills. Knowledge of specific technologies may be helpful but is less important than an ability to learn quickly. We value team members who aren't afraid to dive deep when required, think for themselves, and have great communication and teamwork skills.

Responsibilities and Duties of the Role

• Contribute to maintaining, updating, and expanding the existing AI intelligence layer encompassing Snowflake Cortex and AWS Bedrock.
• Design, architect, and code shared libraries that abstract complex business logic to allow consistent functionality across all data pipelines in the Data organization.
• Collaborate with product managers, architects, and other engineers to drive the success of the Data & AI strategy.
• Contribute to developing and documenting internal and external standards and best practices for configurations, naming conventions, partitioning strategies, and more.
• Ensure high operational efficiency and quality of the AI projects.
• Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for the team.
• Engage with customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements.
• Maintain detailed documentation of work and changes to support data quality and data governance requirements.

Basic Qualifications

• 7+ years software engineering experience in developing large projects.
• Strong algorithmic problem‑solving expertise.
• Strong fundamental programming skills in Python with knowledge of ML libraries.
• Proficient in AWS Bedrock, Snowflake Cortex, Databricks Genie.
• Proficient in Data Engineering technologies like Airflow, Spark, Databricks, Snowflake.
• Strong scripting language experience.

Preferred Qualifications

• Passion to explore new technology and participate in proof of concepts.
• Enjoy new and meaningful technology or business challenges which require quick thinking and response.
• Passionate about automation, data, technology, and creative innovation.
• Prior experience building internet‑scale platforms.
• Robust portfolio on GitHub and/or open‑source contributions.

Required Education

Bachelor’s or master’s degree in Computer Science or related discipline or its equivalent.

Compensation

The hiring range for this position is $155,700 to $208,700 per year in Los Angeles; $163,100 to $218,700 per year in Seattle; and $170,500 to $228,600 per year in San Francisco. The base pay actually offered will take into account internal equity and may vary based on the candidate’s geographic region, job‑related knowledge, skills, and experience. A bonus and/or long‑term incentive units may be part of the compensation package, in addition to the full range of medical, financial, and other benefits appropriate for the level and position offered.