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Warner Bros. Discovery - Senior Director - Data Architecture & Engineering

Warner Bros. Discovery - Senior Director - Data Architecture & Engineering

Warner Bros. DiscoveryHyderabad, India
30+ days ago
Job description

Your New Role :

  • The Senior Director of Data Engineering will be responsible for leading the design, development, and implementation of data engineering solutions on different cloud data platforms.
  • This role requires extensive experience in managing large-scale data projects, including ETL (Extract, Transform, Load) processes, data migration, integration, and orchestration.
  • The ideal candidate will also have expertise in Master Data Management (MDM), data cataloging, data governance, data security, and canonical data modeling.
  • In this role, you will provide strategic leadership and direction to the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.
  • You will be responsible for building and managing a high-performing team, ensuring that team members are motivated, skilled, and aligned with the company's goals.
  • Your technical depth and hands-on experience will be crucial in guiding the team through complex technical challenges and ensuring the successful delivery of data engineering projects.

Roles & Responsibilities :

  • Lead and manage the data engineering team to deliver high-quality data solutions.
  • Oversee the design, development, and implementation of data engineering projects on different cloud platforms.
  • Ensure the successful execution of large-scale data engineering projects, meeting deadlines and budget requirements.
  • Develop and maintain data governance frameworks, ensuring data quality, security, and compliance.
  • Partner with Data Governance team to implement Master Data Management (MDM) solutions to ensure data consistency and accuracy.
  • Develop and maintain data catalogs to facilitate data discovery and usage.
  • Ensure robust data security measures are in place to protect sensitive information.
  • Design and implement canonical data models to standardize data across the organization.
  • Lead ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.
  • Manage data migration projects to move data between systems, ensuring data integrity and minimal downtime.
  • Oversee data integration efforts to combine data from different sources into a unified view.
  • Implement data orchestration tools to automate and manage data workflows and pipelines.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • Provide mentorship and guidance to team members, fostering their professional growth and development.
  • Present data architecture, roadmap, plans, status, and risk to various stakeholders including higher management.
  • Stay up-to-date with the latest trends and technologies in data engineering and apply them to improve our data infrastructure.
  • Innovation : Stay current with industry trends and emerging technologies, evaluating their potential impact on the data platform and recommending adoption where appropriate.
  • Support AI : Support the implementation of AI-powered data and analytics solutions through cutting edge tool stack availability and data democratization to enable advanced insights
  • Qualifications & Experiences

  • Advanced degree in Computer Science, Data Science, Engineering, or a related field
  • 18 years' experience with data platforms, cloud services (e. , AWS, Azure, Google Cloud), and big data technologies
  • Extensive experience with AWS services, Snowflake and its ecosystem
  • Extensive executive leadership experience in data management, analytics or platform leadership related fields within a large and complex organization
  • Proficiency in data warehousing, ETL processes, data integration, and analytics tools
  • Exceptional strategic thinking, analytical, and problem-solving skills
  • Proven leadership skills with experience managing high-performing teams across multiple locations and disciplines
  • Experience in Media and Entertainment industry is preferred.
  • Excellent communication, negotiation, and interpersonal skills, capable of building strong relationships across all levels of an organization
  • Experience in transforming traditional business operations through data services and automation
  • Recognized thought leader in the field of data management, with contributions to industry discussions, publications, or conferences
  • (ref : iimjobs.com)

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