Vice President, Data Engineering
Tasks
- Build Lakehouse architectures
- Collaborate with cross-geography engineering teams
- Create batch and streaming ETL and ELT pipelines
- Design cloud data platform architecture
- Document architecture decisions and operational standards
- Drive data governance frameworks
- Enforce cloud security best practices
- Establish DevOps CI/CD pipelines
- Implement data catalog lineage classification and access control
- Implement infrastructure as code and automated provisioning
- Lead end to end data pipeline implementation
- Mentor data engineering and DevOps teams
- Monitor, troubleshoot, and optimize data workflows
- Participate in agile ceremonies
- Translate business requirements into scalable solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | AWS | AWS Glue | AWS Lambda | Access Control | Amazon EC2 | Amazon EMR | Amazon S3 | Athena | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure DevOps | Azure Monitor | Azure Purview | Azure Resource | Azure Resource Manager | Azure Synapse | Azure Synapse Analytics | CI/CD | CloudFormation | CloudWatch | Cost Optimization | Data Catalog | Data Classification | Data Factory | Data Lake | Data Lineage | Databricks | Docker | ECS | ELK | ELT | ETL | Encryption | Flink | GDPR | GitLab CI | GitLab CI/CD | HIPAA | IAM | Kubernetes | Lake Formation | Network Security | Observability | PySpark | Resource manager | Spark | Synapse Analytics | Terraform
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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