Principal Engineer, Data
Work at Home - Ohio - Other, United States
R
USD 101K-175K (estimate) Senior-level Full Time
Tasks
- Architect cloud-native data platform
- Assess data pipelines platforms and engineering practices
- Define AI ready data standards including quality and timeliness
- Define and evolve data engineering standards and guardrails
- Design scalable, secure, cost-efficient data solutions
- Develop data engineering technology roadmap
- Diagnose reliability issues in tier 1 pipelines
- Drive platform observability and capacity forecasting
- Enable AI machine learning and advanced analytics workloads
- Implement FinOps cost transparency and usage monitoring
- Implement data product ownership quality documentation and usage metrics
- Mentor senior engineers on architecture and design thinking
- Optimize compute storage and query performance
- Partner with data science analytics product and cloud teams
- Run proofs of concept and technical spikes
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Artificial Intelligence | Azure | CI/CD | Code review | Data Lineage | Data Modeling | Data Observability | Data Quality | Databricks | DevOps | FinOps | Machine Learning | Metadata Management | SQL | Schema management | Telemetry | Test automation | Testing
Education
N/A
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