Data Architect and Engineer Leader

2 weeks ago

Pushkar, Rajasthan, India beBeeCloudEngineer Full time ₹ 12,00,000 - ₹ 25,20,000

We are seeking an experienced leader in data architecture and engineering to drive the development of our data products and modernize existing platforms.

This role is critical to both innovation and operational excellence, requiring a seasoned professional with deep expertise in designing, building, and optimizing large-scale data pipelines and architectures.

Key Responsibilities
  • Data Engineering & Architecture:
  • Design, build, and maintain scalable data pipelines and data products.
  • Develop and optimize ELT/ETL processes using a variety of tools and technologies.
  • Support and evolve data models that drive operational and analytical workloads.
  • Modernize legacy systems and migrate workloads to cloud-native platforms.
Cloud Development & DevOps (AWS-Focused)
  • Build, deploy, and manage cloud-native data solutions using AWS services.
  • Implement CI/CD pipelines and Infrastructure as Code (IaC).
  • Monitor and optimize cloud infrastructure for performance, cost, and security.
  • Ensure scalability, resilience, and compliance of AWS-based data platforms.
Cross-functional Collaboration
  • Partner with product managers, analysts, and engineers to deliver end-to-end solutions.
  • Contribute to the data platform modernization roadmap and support new product delivery.
Requirements
  • 7+ years of experience in data engineering or equivalent technical role.
  • 5+ years of hands-on AWS Cloud Development & DevOps experience.
  • Strong expertise in SQL, data modeling, and ETL/ELT pipelines.
  • Deep experience with Oracle (PL/SQL, performance tuning, data extraction).
  • Proficiency in Python for data processing tasks.
  • Strong knowledge of cloud infrastructure (networking, security, cost optimization).
  • Experience with Infrastructure as Code (Terraform).
  • Familiarity with CI/CD pipelines and DevOps tooling.
Priorities
  • Leadership and team management.
  • Cloud migration and modernization.
  • Data pipeline design and optimization.
  • Collaboration with cross-functional teams.

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