Manager, Data Engineering
Austin, TX, United States
USD 116K-161K (estimate) Mid-level Full Time
Tasks
- Align data engineering roadmap and delivery timelines
- Coordinate integration handoffs with system interfaces
- Design and evolve analytical data architecture
- Design data ingestion and transformation layers
- Develop and maintain automated data pipelines
- Develop feature ready datasets for AI workflows
- Enable analytics BI data science and AI
- Ensure Snowflake scalability performance security
- Ensure regulatory reporting auditability and trusted metrics
- Establish pipeline orchestration monitoring logging alerting
- Execute migration validation reconciliation cutovers
- Implement batch and incremental processing
- Implement data quality checks and data lineage
- Lead data engineering team
- Lead legacy SQL Server to Snowflake migration
- Maintain curated analytics ready data models
- Modernize data models and transformations
- Provide production support and incident response
- Set data pipeline standards and best practices
Perks/Benefits
Skills/Tech-stack
Alerting | BI | Batch Processing | Data Engineering | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Transformation | Data Warehousing | ELT | ETL | Incident Response | Incremental processing | Logging | Metadata Management | Microsoft Azure | Monitoring | Pipeline Orchestration | SQL Server | Semantic Modeling | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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