Data Architect

1 day ago

Ajmer, Rajasthan, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Cloud Data Specialist Job Summary

Developing a scalable cloud data strategy is key to unlocking business insights and driving innovation. As a Cloud Data Specialist, you will play a pivotal role in designing, developing, and managing enterprise data solutions on Google Cloud Platform (GCP).

Key Responsibilities:
  • Design end-to-end data architectures on GCP aligning with business and technical requirements.
  • Define data models, storage strategies, data ingestion, processing, and consumption frameworks.
  • Implement data lakes, data warehouses, and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
  • Collaborate with stakeholders, data scientists, and engineering teams to understand data needs and translate them into scalable architectures.
  • Design governance, security, and compliance frameworks for cloud-based data platforms.
  • Optimize data workflows, query performance, and storage costs in the GCP environment.
  • Lead data migration and modernization initiatives from on-premise or other cloud platforms to GCP.
  • Stay updated with GCP services, features, and industry best practices to recommend improvements and innovation.
Required Skills:
  • Strong expertise in GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, Data Catalog.
  • Proficient in data modeling, data warehousing concepts, ETL/ELT pipelines, and big data processing frameworks.
  • Hands-on experience in data security, encryption, access control, and governance on GCP.
Benefits:
  • Competitive compensation package.
  • Comprehensive health insurance plan.
  • Retirement savings plan.
  • Generous paid time off policy.
Traits We Are Looking For:
  • Curiosity-driven: Passionate about exploring new tools and technologies.
  • Problem-Solver: Thrives on identifying and fixing complex issues.
  • Self-starter: Takes initiative, requires minimal supervision.
  • Innovative Mindset: Enjoys experimenting with different approaches.

The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration.

A Bachelor's degree in Computer Science, Software Engineering, or related field, along with 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on on GCP.

Experience working with data lakes, data warehouses, and data marts is highly desirable.

How to Apply:

Submit your resume and cover letter through our website.

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