Lead Data Architect

1 day ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Lead Data Architect

About the Role:

We are seeking a seasoned Lead Data Architect to join our team. The ideal candidate will have a strong background in data architecture, with expertise in designing and implementing scalable and maintainable data systems.

Main Responsibilities:

  • Requirement Validation & Implementation:
    • Validate correctness and completeness of requirements from stakeholders.
    • Implement scalable and maintainable data logic with comprehensive testing for high-quality deliverables.
  • System Design & Development:
    • Create system designs with strong considerations for security, performance, reliability, and maintainability.
    • Produce robust designs requiring minimal revisions.
  • Data Architecture Expertise:
    • Apply deep knowledge of data infrastructure, algorithms, pipelines, data modeling, transformations, and validation tests to solve business problems.
    • Deliver end-to-end data architecture and pipelines of medium complexity.
  • Coding & Data Handling:
    • Write clean, maintainable code in multiple languages or techniques within a single language.
    • Handle normalized, semi-structured, and unstructured data effectively.
  • Technology Decision-Making:
    • Understand trade-offs between different technology choices, make informed decisions, and advocate effectively.
  • Collaboration & Integration:
    • Work with stakeholders to establish system-to-system data connections.
    • Contribute to team on-call rotation and address root causes of operational issues.
  • Process & Infrastructure Improvement:
    • Contribute to defining team-level processes and engineering best practices.
    • Enhance data infrastructure functionality and processes.
  • Mentorship & Knowledge Sharing:
    • Mentor junior engineers and be sought after for advice on engineering approaches and best practices.

Requirements:

  • Minimum 7 years of real-world experience in data architecture roles.
  • Proven track record in building and optimizing large-scale data systems.

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