Lead Data Infrastructure Specialist

2 days ago

Delhi, Delhi, India beBeeDataArchitect Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Summary:

We are seeking a highly skilled and experienced Data Architect to spearhead our data engineering team.

The ideal candidate will have a strong background in cloud data architecture, particularly on AWS, and be proficient in building scalable data pipelines, real-time processing systems, and enterprise-grade data lakes and warehouses.

You will be responsible for leading the design, development, and deployment of robust, secure, and efficient data solutions across large-scale environments.

Responsibilities

  • Design and implement end-to-end cloud-native data architectures on AWS to support large-scale data ingestion, transformation, and analytics.
  • Build scalable and maintainable data pipelines using tools such as AWS Glue, Apache Airflow, Lambda, and Talend.
  • Architect and manage data warehouses and data lakes using technologies like Amazon Redshift, S3, and Lake Formation.
  • Develop and maintain real-time and batch processing pipelines using frameworks like PySpark and Kafka (optional).
  • Collaborate with data engineers, analysts, and business stakeholders to translate business needs into technical requirements and scalable data models.
  • Optimize and monitor performance, reliability, and security of data solutions.
  • Establish data governance, quality standards, and best practices.
  • Drive automation and CI/CD practices for data infrastructure using Git and other DevOps tools.
  • Mentor junior engineers and participate in architecture reviews and code walkthroughs.
  • Ensure compliance with data security, privacy, and regulatory standards.

Requirements

  • Bachelors or higher degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • 5+ years of proven experience in cloud data engineering, data architecture, and data platform design.
  • AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect Associate/Professional is highly desirable.
  • Strong understanding of data architecture principles, data lifecycle, and metadata management.
  • Excellent communication, problem-solving, and collaboration skills.

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