
Chief Data Platform Architect
24 hours ago
Job Overview:
As a seasoned data engineering professional, you will spearhead the development and implementation of cutting-edge data platforms that drive business growth and operational efficiency.
Key Responsibilities:
- Develop and communicate a clear data platform vision to stakeholders.
- Partner with cross-functional teams to prioritize initiatives and solve complex problems.
- Design end-to-end data pipelines leveraging cloud-native services such as AWS S3, Glue, Redshift, Athena, EMR, Kinesis, DynamoDB, and SageMaker.
- Implement data product storage, processing, and APIs using serverless architectures.
- Apply fine-grained access control and secure data sharing across domains using AWS Lake Formation.
- Architect multi-tenant, domain-oriented data lakes and integrate with Redshift Spectrum / Athena for distributed querying.
- Drive platform governance, ensuring compliance with security and operational standards.
- Provide mentorship and technical guidance to engineering teams.
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 cloud services, 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 (Infrastructure as Code).
- Proficiency with SQL and NoSQL databases.
- Strong CI/CD experience with Jenkins, GitHub Actions, or GitLab CI/CD.
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