Senior Cloud Data Architect

2 days ago

Udaipur, Rajasthan, India beBeeData Full time ₹ 1,76,64,000 - ₹ 2,51,20,000

We're seeking a highly skilled Data Architect to join our advanced analytics team. The ideal candidate will possess expertise in data engineering, cloud infrastructure, and big data technologies.

About the Role:

This is an exceptional opportunity for a seasoned professional to drive organic growth by leveraging big data and advanced analytics.

  • Analyze existing data warehouse implementations to support migration and consolidation efforts.
  • Reverse-engineer legacy stored procedures and translate business logic into scalable Spark SQL code within Databricks notebooks.
  • Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
  • Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.
  • Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.
  • Evaluate and optimize data models for performance and scalability in the new platform.
  • Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability.
  • Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.
  • Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.
  • Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming.
  • Triage, debug, and fix technical issues related to Data Lakes.

The successful candidate will be a strategic thinker with excellent communication skills, capable of driving collaboration across multiple teams.

Required Skills:
  • Expertise in data engineering, cloud infrastructure, and big data technologies.
  • Experience with AWS, Databricks, and S3.
  • Strong understanding of data warehousing, ETL, and data governance.
  • Ability to design and implement scalable data architectures.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

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