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 skilled 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.g., 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

📌 Sr. Director, Data Architecture and Engineering (Secunderabad)
🏢 Warner Bros. Discovery
📍 Secunderabad