Chief Data Infrastructure Architect

1 week ago

Hyderabad Secunderabad Telangana, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878

Job Description:

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As a senior data architect, you will be responsible for designing and implementing enterprise-level data architecture solutions. You will work with cross-functional teams to understand business needs and deliver solutions that meet those requirements.

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You will develop and maintain data models, including canonical data models, to standardize data across the organization. You will also implement and manage Master Data Management (MDM) solutions to ensure data consistency and accuracy.

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In addition, you will develop and enforce data governance frameworks to ensure data quality, security, and compliance. You will ensure data quality by implementing best practices and tools for data validation, cleansing, and enrichment.

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You will oversee the integration of data from various sources into a unified data architecture. You will also ensure the scalability and performance of data architecture solutions to support growing data volumes and complexity.

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Furthermore, you will design and implement different data architectures, including data warehouses, data lakes, and real-time data processing systems. You will leverage AI capabilities to enhance data processing, analysis, and decision-making.

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This role requires advanced knowledge of data platforms, cloud services, and big data technologies. You should have extensive experience with AWS services, Snowflake, and its ecosystem.

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The ideal candidate will have 10+ years of experience in data architecture, data modeling, and database design. They should also have proficiency in data warehousing, ETL processes, data integration, and analytics tools.

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Beyond technical skills, the candidate should possess strong analytical and problem-solving skills. They should also have excellent verbal and written communication skills and the ability to work effectively with cross-functional teams.

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Required Skills and Qualifications:

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  • Advanced degree in Computer Science, Data Science, Engineering, or a related field\
  • 1 2 + 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\
  • 1 0 + years experience in data architecture, data modeling, and database design\
  • Lead the design and implementation of data architecture from scratch at the enterprise level, ensuring scalability, reliability, and performance\
  • Proficiency in data warehousing, ETL processes, data integration, and analytics tools\
  • Experience in Media and Entertainment industry is preferred\
  • Strong analytical and problem-solving skills\
  • Excellent verbal and written communication skills\
  • Ability to work effectively with cross-functional teams\
    • \

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