Cloud Native Data Architect

24 hours ago


Bareilly, Uttar Pradesh, India beBeeDataEngineering Full time ₹ 1,80,00,000 - ₹ 2,00,00,000

Position Overview:

As a Data Engineering Manager, you will be responsible for leading the design and development of scalable, secure, and compliant cloud-native platforms.

The ideal candidate will have 12+ years of experience in platform engineering, data architect, data engineering, or solution architecture, with strong expertise in building scalable, secure, and compliant cloud-native platforms.

Key Responsibilities:

  • Develop and communicate a clear platform vision to enable business growth and operational efficiency.
  • Partner with cross-functional teams to define priorities and solve challenges.
  • Design end-to-end data pipelines leveraging AWS services such as S3, Glue, Redshift, Athena, EMR, Kinesis, DynamoDB, and SageMaker.
  • Implement data product storage, processing, and APIs using AWS-native tools and serverless architectures.
  • Use AWS Lake Formation for fine-grained access control and secure data sharing across domains.
  • Architect multi-tenant, domain-oriented data lakes and integrate with Redshift Spectrum / Athena for distributed querying.
  • Apply Infrastructure as Code (Terraform, AWS CDK) for provisioning and managing cloud resources.
  • Drive platform governance, ensuring compliance with security and operational standards.
  • Provide mentorship and technical guidance to engineering teams.
  • Mentor team members on secure coding practices, compliance, and architectural principles.
  • Lead design reviews and technical discussions to ensure secure and scalable implementations.

Requirements:

  • 12+ years of experience in platform engineering, data architect, data engineering, or solution architecture.
  • Strong expertise in building scalable, secure, and compliant cloud-native platforms.
  • Proven track record in designing and managing multi-tenant systems on AWS.
  • Hands-on experience with AWS cloud, Big data and Analytics ecosystem (Airflow, Spark, Python, Flink, AWS Batch, S3, Athena, ECS-Fargate, SQS).
  • Strong programming skills in Python, Java, or Scala.
  • Advanced skills in Terraform (IaC).
  • Proficiency with SQL and NoSQL databases.
  • Strong CI/CD experience with Jenkins, GitHub Actions, or GitLab CI/CD.


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