Lead Data Engineer
Orlando, FL, United States
USD 130K-170K (estimate) Senior-level Full Time
Tasks
- Build and optimize data products
- Define data quality frameworks validation rules and monitoring
- Design and implement data pipelines
- Ensure compliance with data governance security and enterprise architecture standards
- Ensure pipeline observability alerting and reliability
- Establish engineering standards and architectural best practices
- Establish reliability standards and SLAs
- Implement ingestion transformation and enrichment frameworks
- Implement version control, CI/CD, and automated testing
- Lead lakehouse data architecture patterns
- Maintain data pipeline documentation and lineage
- Optimize compute usage and platform performance
- Provide technical leadership and mentorship
- Review code pipelines and technical designs
- Serve as technical escalation point
- Support agile sprint planning and backlog refinement
- Troubleshoot pipeline failures and drive root cause analysis
- Use infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automated testing | Azure | BigQuery | CI/CD | Data Governance | Data Lineage | Data Observability | Data Quality | Databricks | ELT | ETL | GCP | Infrastructure as Code | Lakehouse | Medallion Architecture | Metadata Management | Monitoring | Orchestration | Python | SQL | Scala | Snowflake | Version control | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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