Data Architecture Director

2 days ago


Hyderabad City Taluka, Pakistan Warner Bros. Discovery, Inc. Full time
About the Role
">We are seeking a highly skilled and experienced Data Governance Expert to join our team. The successful candidate will be responsible for developing and implementing data governance frameworks that ensure data quality, security, and compliance.">

This role will involve working closely with our cross-functional teams to understand data requirements and deliver solutions that meet business needs. You will also provide technical leadership and guidance on data architecture best practices and emerging technologies.

The ideal candidate will have extensive experience in enterprise data architecture, Master Data Management (MDM), data governance, canonical data modeling, data quality, and artificial intelligence (AI). Experience in Media and Entertainment industry is preferred.

You will be responsible for ensuring the scalability and performance of our data architecture to support growing data volumes and complexity. You will also focus on optimizing resources and ensuring that data architecture solutions are cost-effective and efficient.

Key Responsibilities:

  • Develop and maintain a comprehensive data governance framework that ensures data quality, security, and compliance.
  • Implement and manage Master Data Management (MDM) solutions to ensure data consistency and accuracy.
  • Design and implement canonical data models to standardize data across the organization.
  • Ensure data quality by implementing best practices and tools for data validation, cleansing, and enrichment.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • Provide technical leadership and guidance on data architecture best practices and emerging technologies.
  • Oversee the integration of data from various sources into a unified data architecture.
  • Ensure the scalability and performance of data architecture solutions to support growing data volumes and complexity.
  • Optimize resources to ensure cost-effective and efficient data architecture solutions.
  • Stay up-to-date with the latest trends and technologies in data architecture and AI, and apply them to improve our data infrastructure.


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