Data Architecture Professional

6 days ago

Davangere, Karnataka, India beBeeTechnical Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Big Data Architect Job Description

As a Senior Big Data Architect, you will be responsible for designing and implementing highly scalable big data platforms that provide the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.

  • Align Sigmoid's vision with key Client initiatives by understanding strategic requirements and proposing comprehensive solutions.
  • Interface daily with customers across leading Fortune 500 companies to understand their business needs and develop technology solutions that meet those needs.
  • Connect with VP and Director level clients on a regular basis to stay up-to-date on their business requirements and ensure alignment with Sigmoid's offerings.
  • Travel to client locations to build relationships and understand their technical challenges and opportunities.

The ideal candidate will have a strong track record of relevant work experience and a computer Science or a related technical discipline, with expertise in architecture and delivery of Enterprise scale applications.

Responsibilities:

  • Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies.
  • Excellent experience in Application development and support, integration development and data management.
  • Provide technical leadership and manage it day to day basis.
  • Guiding developers in day to day design and coding tasks.
  • Play a key role in hiring technical talents to build the future of Sigmoid.
  • Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid.
  • Hands on coder with good understanding on enterprise level code.
  • Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems.
  • Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment.

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