Chief Data Visionary

1 day ago

Thrissur, Kerala, India beBeeDataArchitect Full time ₹ 12,34,567 - ₹ 23,45,678

Job Title: Senior Data Architect

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As a Senior Data Architect, you will be responsible for designing and implementing data architectures to support business growth and innovation. You will work closely with cross-functional teams to understand business needs and develop data strategies that drive revenue and customer engagement.

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This is a leadership role that requires expertise in data architecture, cloud computing, and big data analytics. You will need to stay up-to-date with emerging technologies and trends to ensure our solutions are always cutting-edge.

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The ideal candidate will have a strong background in data engineering, software development, and data science. Experience with cloud platforms (AWS, Azure, Google Cloud), Hadoop, Spark, Python, Java, Scala, and NoSQL databases is highly desirable.

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You will also need excellent communication and interpersonal skills to effectively collaborate with stakeholders and communicate technical ideas to non-technical audiences.

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Key Responsibilities:

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  • Design and implement data architectures to support business growth and innovation
  • Develop data strategies that drive revenue and customer engagement
  • Collaborate with cross-functional teams to understand business needs and develop effective solutions
  • Stay up-to-date with emerging technologies and trends to ensure our solutions are always cutting-edge
  • Lead the development of technical roadmaps and plans to achieve business objectives
  • Mentor junior team members and provide guidance on best practices and industry standards

We're looking for a seasoned data architect who can lead our team and drive innovation. If you have a passion for data and technology, and enjoy working in a fast-paced environment, we'd love to hear from you

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Requirements:

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  • 8+ years of experience in data architecture, engineering, or a related field
  • Strong background in data engineering, software development, and data science
  • Experience with cloud platforms (AWS, Azure, Google Cloud)
  • Expertise in Hadoop, Spark, Python, Java, Scala, and NoSQL databases
  • Excellent communication and interpersonal skills

Bonus Points:

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  • Experience with machine learning algorithms and deep learning frameworks
  • Knowledge of DevOps methodologies and tools
  • Certifications in data architecture, cloud computing, or related fields

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