Senior Manager - Data Engineering

The Walt Disney Company · Bengaluru

  • Experience10–14 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
Apply for this job

About The Walt Disney Company

The Walt Disney Company is hiring in Bengaluru in media advertising. This role looks for around 10+ years of experience.

Skills

  • Python
  • Scala
  • SQL
  • data architecture
  • data modeling
  • system design
  • application design
  • Agile
  • project management
  • program management
  • Snowflake
  • Databricks
  • EMR
  • Spark
  • Airflow
  • test automation
  • Selenium

The role

A data platform engineering manager at a media and entertainment company designs data architecture and modeling for large software and data platforms, using Snowflake, Databricks, Spark, Airflow, and Python. The role scales data products, guides cross-functional platform development, and applies Agile delivery and program management.

Full job description

Requirements:

BS in computer science, EE or other quantitative subject area and/or equivalent work experience.

10+ years of software and/or data engineering professional work experience.

5+ years of professional work experience with programming languages (e. g., Python, Scala, SQL).

3+ years of work experience in leading the development of large, complex software/data platforms with multiple stakeholders.

Strong knowledge of system, application design, data architecture, and modeling.

Strong project and program management experience in agile, fast-paced environments.

Ability to interpret data, identify insights, and communicate actionable strategies to senior levels of the organization.

Strong interpersonal, communication, and presentation skills; experience working cross-functionally.

BS in computer science, EE or other quantitative subject area and/or equivalent work experience.

Experience with Snowflake, Databricks/EMR/Spark and Airflow, Test automation technologies (e. g., Selenium).

Preferred Qualifications:

Experience with Snowflake, Databricks/EMR/Spark and Airflow is a plus.

Proficiency in establishing and scaling products or teams from inception (0 to 1) and expanding them to a larger scale (1 to 100).