
Senior Cloud Architect
4 days ago
Job Title:
Data Engineering Platform Lead
About the Role:
This is a leadership position responsible for designing and implementing data engineering platforms, architectures, and solutions that drive business growth and operational efficiency.
Key Responsibilities:
- Develop a clear platform vision to enable business success.
- 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.
What We Offer:
Opportunity to work with a talented team of engineers, architects, and data scientists.
Chance to design and implement innovative data engineering platforms and solutions.
Professional growth and development opportunities.
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