Lead Data Engineer 2026- US
Tasks
- Build and evolve semantic and analytical layers
- Collaborate with analytics data science and ML teams to productionize AI enabled analytics
- Design and implement AI optimized data platforms
- Design data models for metrics layers and semantic consistency
- Engineer ETL/ELT pipelines
- Implement data quality checks schema generation documentation and lineage
- Lead small team delivery and independent workstreams
- Translate business questions into AI ready data architectures
- Write production ready SQL Python and Spark code
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | CI/CD | Cloud Data | Cloud Data Warehouse | DBT | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Warehouse | Databricks | Docker | ELT | ETL | Entity relationship | Fivetran | Git | Google Cloud | Knowledge graphs | Kubernetes | Python | SQL | Semantic layer | Snowflake | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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