Senior Principal, Data Engineering
Arlington, Virginia, United States
USD 212K-390K Senior-level Full Time
Tasks
- Apply infrastructure as code
- Build Lakehouse architectures
- Build and optimize enterprise scale data platforms
- Design and architect cloud native data platform solutions
- Develop ETL/ELT pipelines
- Document architectural standards and design patterns
- Enforce cloud security architecture standards
- Evaluate emerging cloud and data technologies
- Implement CI/CD pipelines
- Implement data governance frameworks
- Implement data processing with Spark
- Implement observability, monitoring, and logging
- Participate in architecture reviews and technical design discussions
- Perform performance scalability reliability and cost optimization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Athena | AWS CloudFormation | AWS EC2 | AWS EMR | AWS Glue | AWS Lake Formation | AWS Lambda | AWS Redshift | AWS S3 | Access Control | Amazon ECS | Azure Data | Azure Data Factory | Azure Data Lake | Azure DevOps | Azure Fabric | Azure Kubernetes | Azure Kubernetes Service | Azure Kubernetes Service (AKS) | Azure Monitor | Azure Synapse | Bash | Bicep | CI/CD | CloudWatch | Data Catalog | Data Classification | Data Factory | Data Governance | Data Lake | Data Lineage | Databricks | Docker | ELK | ELT | ETL | Encryption | FinOps | GDPR | GitLab CI | GitLab CI/CD | Grafana | HIPAA | IAM | Infrastructure as Code | Kubernetes | Kubernetes Service (AKS) | Lake Formation | Lakehouse | Medallion Architecture | Powershell | PySpark | Python | Spark | Terraform | “as-code”
Education
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