Cloud Data Architect

2 days ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Title: Cloud Data Architect

We are seeking an experienced cloud data architect to design, develop, and maintain scalable data pipelines and architectures on Google Cloud Platform (GCP). The ideal candidate will have expertise in cloud-based data engineering, large-scale data processing, and hands-on experience with GCP services.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes on GCP.
  • Build and optimize data lake and data warehouse solutions using BigQuery, Cloud Storage, and related services.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver reliable, high-quality data solutions.
  • Implement data quality, governance, and security best practices.
  • Work with real-time streaming data pipelines using Pub/Sub, Dataflow, or Kafka.
  • Automate workflows with Cloud Composer (Airflow) or similar orchestration tools.
  • Monitor, troubleshoot, and optimize system performance and data reliability.
  • Support migration of legacy systems to cloud-native GCP architectures.

Required Skills & Qualifications:

  • Bachelor's/Master's degree in Computer Science, Information Technology, or related field.
  • 3+ years of experience in Data Engineering (with at least 2 years on GCP).
  • Strong expertise with GCP services:
  • BigQuery, Pub/Sub, Dataflow, Cloud Storage, Cloud Composer, Dataproc.
  • Proficiency in SQL and Python (PySpark or Pandas experience preferred).
  • Strong experience in building and managing ETL/ELT pipelines.
  • Hands-on knowledge of data modeling, schema design, and partitioning strategies.
  • Familiarity with DevOps/CI-CD for data pipelines (Cloud Build, Git, Terraform).
  • Experience with streaming and batch data processing frameworks (Apache Beam, Spark).
  • Understanding of data security, IAM roles, and compliance practices in GCP.

Preferred Skills:

  • Experience with machine learning pipelines on GCP (AI/ML APIs, Vertex AI).
  • Exposure to other cloud platforms is a plus.
  • Knowledge of Kubernetes and containerization.
  • Familiarity with business intelligence tools.

Soft Skills:

  • Strong problem-solving and analytical skills.
  • Ability to communicate technical solutions clearly.
  • Team player with a collaborative mindset.
  • Self-motivated and able to work in a fast-paced environment.

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