Data Engineering Architect

Job Posting Title:

Data Engineering Architect

Req ID:

10138715

Job Description:

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

1. Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

2. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.

3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Commerce, Data & Identity provides the core product management functions for areas crucial to Disney’s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.

The Data Architecture team partners with the Product Management and Data Tech Engineering, Data Science, Data Quality, and Reliability Engineering functions of the Disney Streaming D.A.T.A organization as well as with legal, privacy, information security, and industry groups to ensure consistent, trustworthy data across all of Disney Streaming. The group works with other groups within the Disney Streaming Data technology organization to implement the data engineering and infrastructure strategy within platform components, reporting and analytics, tools, and compliance standards.

The Data Architect will be responsible for strategizing data architecture principles, cloud migration, and improvement of data lifecycle effectiveness and efficiency. Enforce industry best practices and discipline to turn data into a strategic asset and build advanced data solutions and capabilities to foster data-driven decision-making. Build a high-impact data architecture function. Identify potential for cost savings through ETL, storage optimization, budget allocation. Contribute towards the Architecture Book of Knowledge with whitepapers, guidance documents, system designs, and RFE/RFP for POCs.Develop and sponsor proof-of-concept and idea blueprints to demonstrate recommended approaches. Sell ideas and strategies to key technical and product stakeholders when appropriate using state-of-the-art diagramming and modeling tools.

Responsibilities and Duties of the Role:

• Define, design, and implement data governance platform strategies for operational, privacy, security, and other related control areas

• Assist in the definition, documentation, and development of mapping rules for the movement of data from disparate data sources and into the various components and subject areas of the data governance environment.

• Build data models including robust data definitions, entity-relationship- attribute models, as well as relational and/or dimensional models.

• Work closely with data engineers to derive logical models from the physical implementation of data structures.

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering,

• Mathematics or a related field or equivalent professional or military experience • 12+ years of experience in IT platform implementation in a technical role

• 8+ years of development and/or DBA experience in Relational Database Management Systems (RDBMS)

• 5+ years of Data engineering experience in cloud computing manner preferably in AWS cloud technologies.

• 5+ years of hands-on experience in implementation and performance tuning MPP databases (Snowflake, Redshift, EMR, Databricks)

• Experience in analyzing Data Warehouses such as Redshift, Snowflake, etc.

• Experience designing database environments, analyzing production deployments, and making recommendations to optimize performance

• Experience in multifaceted landscape of data domains and systems such as Spark, Snowflake, Hadoop, Kafka, and other distributed data lake systems

• Ability to quickly learn new and existing technologies with strong attention to detail and excellent analytical capabilities.

Preferred Qualifications

• Master's or Ph.D. in Computer Science, Physics, Engineering or Math or equivalent experience

• Ability to evaluate and plan migrations to Databricks, Snowflake, etc.

• One of the AWS Associate level certifications or AWS Certified Cloud Practitioner

• Extensive hands-on experience in leading large-scale full-cycle MPP enterprise data warehousing (EDW) projects

• Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development

• Excellent SQL and strong hands-on scripting (bash and python) ability

• Experience implementing AWS services in a variety of distributed computing, enterprise environments

• Understanding of database and analytical technologies in the industry including MPP databases, Data Warehouse design, BI reporting.

• Dashboard development, and NoSQL storage.

Job Posting Segment:

Product Engineering

Job Posting Primary Business:

PE - India Product & Technology

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Bangalore, India

Alternate City, State, Region, Postal Code:

Date Posted:

2026-07-23