Chief Data Solution Architect

4 days ago

Hubli, Karnataka, India beBeeData Full time US$ 1,40,000 - US$ 1,80,000

Job Title:

Data Architect – Cloud Data Solutions

Overview:

  • This is a leadership role that will require strong analytical and problem-solving skills, with the ability to communicate technical concepts to both technical and non-technical stakeholders.
  • The ideal candidate will have experience in architecting and designing scalable data warehouse solutions on cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.

Key Responsibilities:

  1. Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.
  2. Interface with multiple stakeholders within IT and business to understand the data requirements.
  3. Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.
  4. Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems.
  5. Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  6. Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data.
  7. Mentor Young Talent within the Team, Define and track their growth parameters.
  8. Contribute to building Assets and Accelerators.

Required Skills and Qualifications:

  • Strong Communication and Articulation Skills.
  • Good Leadership Skills.
  • Should be a good team player.
  • Good Analytical and Problem-solving skills.

Benefits:

As a Data Architect at our organization, you will have the opportunity to work on exciting projects that involve leveraging cloud-based technologies to drive business outcomes.

Other Requirements:

  • Excellent communication skills with the ability to communicate technical concepts to both technical and non-technical stakeholders.

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