Data Engineering Lead
USD 172K-225K (estimate) Senior-level Full Time
Tasks
- Build semantic data layers for reusable metrics
- Create AI ready datasets for machine learning and generative AI
- Define implement and enforce data quality standards
- Design advanced Snowflake data models
- Design build and operate cloud native data pipelines
- Design data contracts for schema expectations ownership and SLAs
- Design data hubs and domain data products
- Design investment domain data models
- Drive technical decision making and design reviews
- Engineer curated data for analytics ready and AI ready use
- Implement data governance metadata lineage access controls
- Implement medallion data architecture
- Lead development of ELT ETL workflows
- Mentor engineers through code reviews and technical guidance
- Optimize data transformations and workloads
- Optimize performance, scalability, reliability, and cost
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Amazon Web Services | Apache Airflow | Apache Spark | Cloud platform | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Quality | ELT | ETL | Generative AI | Google Cloud | Google Cloud Platform | Machine Learning | Medallion Architecture | Metadata Management | Python | SQL | Semantic layer | Snowflake | Snowflake Cortex | Web Services
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Data Engineer | Data Engineering | Data Engineering Lead | Engineer | Engineering Lead | Lead | Lead Data | Lead Data Engineer
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