Lead Engineer, Data Platforms
USD 157K-204K (estimate) Senior-level Full Time
Tasks
- Administer Snowflake
- Build scalable data platforms
- Communicate technical concepts to stakeholders
- Design and build data pipelines
- Develop data models
- Develop machine learning data workflows
- Implement CI/CD pipelines
- Implement ETL and ELT pipelines
- Integrate and optimize data infrastructure
- Maintain real time streaming pipelines
- Manage data governance and data quality
- Migrate databases
- Modernize data ecosystem
- Set up monitoring and alerting
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Lambda | AWS VPC | Access Control | Airflow | Amazon S3 | Amazon SNS | Attribute-Based Access Control | Attribute-based access | Azure Data | Azure Data Factory | CCPA | CI/CD | CloudWatch | DBT | Data Factory | Data Governance | Data Modeling | Data Privacy | Data Quality | Data Security | Database Migration | Datadog | GDPR | GitLab CI | GitLab CI/CD | Infrastructure as Code | Kafka | LLM integration | Matillion | Metadata Management | Power BI | Python | RAG | Real Time | Real-time ETL | SQL | Snowflake | Terraform | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Science | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology | Bachelor of Science in Software Engineering
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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