Senior Cloud Data Architect

2 days ago


Anantapur, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Cloud Data Engineering Leadership

We are seeking a seasoned Data Engineering Manager to spearhead our data engineering team. The ideal candidate will possess strong expertise in building scalable, secure, and compliant cloud-native platforms.

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  • Key Responsibilities:
  • Develop and communicate a clear platform vision to drive business growth and operational efficiency.
  • Collaborate with cross-functional teams (engineering, product, business, and security) to define priorities and solve complex 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.
  • Utilize 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.

Requirements:

We require the following skills and qualifications:

  • 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.
Benefits:

This role offers:

  • The opportunity to lead a high-performing data engineering team.
  • A challenging and dynamic work environment.
  • The chance to work with cutting-edge technologies.
  • Professional growth and development opportunities.
Others:

Additional information:

  • This is a full-time position.
  • Remote work options available.
  • Ongoing training and professional development opportunities.


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