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Urgent! Sr. Director, Data Architecture and Engineering Job Opening In India, India – Now Hiring Confidential

Sr. Director, Data Architecture and Engineering



Job description

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.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


Skills Required
Etl Process, Data Integration, Data Science, Entertainment, Media, Azure, Google Cloud, Aws


Required Skill Profession

Computer Occupations



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