Chief Data Infrastructure Specialist

5 days ago


Rajahmundry, Andhra Pradesh, India beBeeDataArchitect Full time ₹ 1,60,00,000 - ₹ 2,10,00,000

Data Architect Opportunity

We are seeking a highly skilled data professional to join our team as a Data Architect. The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing and data integration, with proven expertise in delivering scalable, secure and efficient data platforms.

The successful candidate will be responsible for designing and architecting end-to-end data solutions on the Google Cloud Platform (GCP), aligning with business and technical requirements. They will define data models, storage strategies, data ingestion, processing and consumption frameworks, and implement data lakes, data warehouses and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub and Composer.

Key Responsibilities:

  • Design and architect end-to-end data solutions on GCP.
  • Define data models, storage strategies, data ingestion, processing and consumption frameworks.
  • Implement data lakes, data warehouses and data marts using GCP services.
  • Collaborate with stakeholders to understand data needs and translate them into scalable architectures.
  • Design and implement data 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.
  • Provide technical leadership and mentoring to data engineering teams.

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering or a related field.
  • 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on on GCP.
  • 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.
  • Experience with SQL, Python and Terraform for infrastructure as code.
  • Hands-on experience in data security, encryption, access control and governance on GCP.
  • Experience in integrating with real-time data pipelines and event-driven architectures.
  • Strong understanding of DevOps, CI/CD pipelines for data workflows and cloud cost optimization.
  • GCP Professional Data Engineer / Cloud Architect certification is a plus.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge security challenges.
  • A collaborative and growth-oriented work environment with opportunities for career development.

What We Offer:



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