Lead IT Data Engineer (SQL/Python)
Tyson Emma - Springdale, Arkansas, United States
USD 43K-50K (estimate) Senior-level Full Time
Tasks
- Apply infrastructure as code for data platform
- Architect agentic AI multi agent systems
- Architect end to end cloud data solutions
- Define data contracts and API standards
- Define data engineering standards
- Develop enterprise data modeling
- Drive data observability and platform reliability
- Enforce CI CD for data pipelines
- Establish AI governance safety and security
- Evaluate and integrate AI agent platforms
- Evaluate build vs buy data and AI tools
- Implement LLMOps for model deployment
- Implement data governance, security, and compliance
- Lead adoption of data mesh principles
- Manage containerized data pipeline architecture
- Mentor engineering team on data and AI
- Own data strategy roadmap
- Plan data platform budget and capacity
- Set human in the loop escalation paths
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 Controls | Agentic AI | Airflow | Apache Flink | Apache Kafka | B testing | Build vs Buy | CI/CD | Cloud Cost Optimization | Cost Optimization | DBT | Dagster | Data Catalog | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Observability | Data as a Product | Data exfiltration | Data mesh | Delta Lake | Dimensional Modeling | Docker | Drift Detection | GCP | Google BigQuery | Iceberg | Infrastructure as Code | Knowledge graphs | Kubernetes | LLMOps | Microsoft Azure | Model Deployment | Model Drift | Model Drift Detection | PII | Platform reliability | Prompt injection | PubSub | Python | RAG | SQL | Snowflake | Terraform | “as-code”
Education
Roles
Data Engineer | Engineer | IT | IT Data Engineer | Lead | Lead Data | Lead Data Engineer
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