Lead Engineer, Data Platforms
USD 145K-180K (estimate) Senior-level Full Time
Tasks
- Apply data governance and data security
- Build dimensional data models
- Collaborate with cross-functional stakeholders
- Create data products for analytics
- Design and build data pipelines
- Develop real-time data processing
- Implement CI/CD pipelines
- Implement Snowflake production solutions
- Maintain data infrastructure
- Modernize data ecosystem
- Monitor and alert data platform systems
- Optimize ETL ETL pipelines
- Support machine learning workflows
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Lambda | AWS S3 | AWS VPC | Access Control | Airflow | Attribute-Based Access Control | Attribute-based access | Azure Data | Azure Data Factory | CCPA | CI/CD | CloudWatch | DBT | Data Factory | Data Governance | Data Modeling | Data Quality | Data Security | Data Sharing | Data replication | Datadog | Dimensional Modeling | ELT | Fivetran | GDPR | GitLab CI | GitLab CI/CD | Infrastructure as Code | Kafka | LLM integration | Matillion | Metadata Management | Power BI | PySpark | Python | RAG | Real Time | Real-time ETL | SNS | SQL | SnowSQL | Snowflake | Snowpipe | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Lead Software Engineer | Software Engineer
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