Data Architect Lead

2 days ago

Nellore, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Overview:

We are seeking a seasoned Data Architect to lead the design and implementation of scalable data processing systems on Google Cloud Platform (GCP). As a key member of our team, you will collaborate with cross-functional groups to ensure accessible, reliable, and optimized data for analytics and machine learning initiatives.

Main Responsibilities:

  • Data Pipeline Development: Design, develop, and maintain ETL/ELT pipelines using tools like Cloud Dataflow, Apache Beam, and Cloud Dataprep.
  • Implement real-time data streaming solutions: Utilize Cloud Pub/Sub or Apache Kafka to handle high-volume data streams.
  • Data Storage & Warehousing: Manage and optimize storage solutions such as BigQuery, Cloud Storage, and Cloud Spanner.
  • Data Integration & Transformation: Integrate data from multiple sources into unified data lakes or warehouses.
  • Cleanse, enrich, and transform raw data: Prepare data for analytics-ready formats.
  • Performance Optimization: Monitor and troubleshoot data pipelines to ensure scalability, performance, and cost-efficiency.
  • Security & Compliance: Implement data governance policies and ensure compliance with data protection regulations.

Required Skills & Qualifications:

  • Proficiency in Python, SQL, and optionally Java or Scala.
  • Experience with GCP services: BigQuery, Cloud Dataflow, Cloud Storage, Cloud Composer, etc.
  • Strong understanding of data warehousing, data modeling, and ETL processes.
  • Familiarity with real-time data processing and streaming architectures.
  • Knowledge of data governance, security, and compliance standards.

Key Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • GCP Professional Data Engineer certification (preferred).
  • 2+ years of experience in data engineering, preferably in cloud environments.

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