Lead IT Data Engineer (SQL/Python)
Tyson Emma - Springdale, Arkansas, United States
USD 107K-203K (estimate) Senior-level Full Time
Tasks
- Architect end-to-end data solutions
- Architect multi-agent systems
- Define data contracts and data contracts standards
- Define data engineering standards
- Design enterprise data modeling
- Design human in the loop escalation paths
- Drive data observability practices
- Drive enterprise agentic AI strategy
- Establish AI governance and safety guardrails
- Establish data governance frameworks
- Evaluate and integrate AI platforms
- Implement LLMOps practices
- Implement containerized pipeline architectures
- Lead data mesh adoption
- Manage infrastructure as code for data pipelines
- Mentor engineering team
- Optimize cloud costs
- Own data strategy
- Set CI CD standards for data pipelines
- Set technical direction for data engineering
Perks/Benefits
- 401k plan
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Prescription drug benefits
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS | Access Control | Agent systems | Agentic AI | Airflow | As-a-Service | Azure | B testing | BigQuery | CI/CD | Compliance | Containerization | DBT | Dagster | Data Catalog | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Security | Data as a Service | Data mesh | Delta Lake | Dimensional Modeling | Docker | Drift Detection | Flink | GCP | Human-in-the-loop | Iceberg | Infrastructure as Code | Kafka | Knowledge graphs | Kubernetes | LLMOps | Model Monitoring | Multi-Agent | Multi-Agent Systems | Prompt versioning | Python | RAG | SQL | Snowflake | Streaming Data | Terraform | The Loop | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | IT | IT Data Engineer | Lead | Lead Data | Lead Data Engineer
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