Lead Data Engineer (Architecture & Data Governance)
USD 119K-166K (estimate) Senior-level Full Time
Tasks
- Build ETL/ELT pipelines
- Create and maintain transformation roadmaps
- Design and implement data solutions
- Document architectures and technical approaches
- Establish production operational readiness
- Implement CI/CD and automated testing
- Implement data architecture patterns
- Lead data pipeline development
- Optimize pipeline and storage performance
- Own end to end pipeline delivery
- Partner with cross-functional teams for data requirements
- Support data maturity assessments
- Support data modernization initiatives
- Translate technical approaches into business frameworks
- Tune partitioning and workload
Perks/Benefits
- Family leave
- Health care plan
- Life insurance
- Long-term disability
- Paid time off
- Retirement plan
- Short-term disability
- Training and development
Skills/Tech-stack
AWS GovCloud | AWS Kinesis | Agile | Amazon Redshift | Apache Kafka | Automated testing | CI/CD | Data Architecture | Data Governance | Data Modeling | Data Validation | Data Warehousing | Databricks | DevSecOps | ELT | ETL | FedRAMP | Integration Tests | Lakehouse | Metadata Management | NIST | Partitioning | Performance Tuning | Right-sizing | Snowflake | Workload Right Sizing
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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