Senior Cloud Data Strategist

4 days ago


Nagpur, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Cloud Data Architecture Leader

Job Description:

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

Key Responsibilities:

  • Design and architect end-to-end data solutions 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 business stakeholders, data scientists, and engineering teams 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.

Requirements:

  • Educational Background: Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Experience: 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 (preferred) 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.

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