Principal Data Engineer / Architect - Individual Contributor
Tasks
- Architect distributed data systems
- Build MLOps workflows
- Collaborate with product engineering teams
- Design AI ready data ecosystems
- Design scalable data architectures
- Develop data pipelines
- Ensure data quality and governance
- Evaluate emerging data technologies
- Implement data security, governance, and compliance
- Improve development automation observability and monitoring
- Maintain data models
- Optimize platform performance
Perks/Benefits
- Collaboration across teams
- Inclusive work environment
- Learning opportunities
- Professional growth
- Remote work
- Technical ownership
Skills/Tech-stack
AWS | Airbyte | Airflow | Azure | CI/CD | Data Lakehouse | Databricks | GCP | Infrastructure as Code | Java | Knowledge graph | Kubernetes | Langchain | Langgraph | MLflow | Monitoring | Observability | Python | SQL | Scala | Snowflake | Streaming | Unity Catalog | Vector Search | “as-code”
Education
N/A
Roles
Architect | Data Architect | Data Engineer | Engineer | Principal | Principal Data Engineer
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