Lead IT Data Engineer (SQL/Python)
Tyson Emma - Springdale, Arkansas, United States
USD 43K-50K (estimate) Senior-level Full Time
Tasks
- Advocate data mesh
- Architect agentic AI multi agent systems
- Architect data platform architecture
- Define CI CD standards for pipelines
- Define data contracts
- Define metadata governance
- Define technical roadmap
- Deploy pipelines with Docker and K8s
- Design data storage architectures
- Design end-to-end data solutions
- Design human in the loop escalation paths
- Design streaming data pipelines
- Develop enterprise data models
- Drive data observability practices
- Establish data governance, security, and compliance
- Evaluate and integrate AI platforms
- Evaluate build vs buy for data and AI tools
- Implement AI governance and safety guardrails
- Implement access controls and data lineage
- Implement data transformation with dbt
- Lead software engineering best practices
- Manage infrastructure as code with Terraform
- Mentor data engineering team
- Optimize cloud costs
- Own data strategy
- Plan data platform capacity and budget
- Run A B testing and drift detection
- Set LLMOps practices
- Set orchestration standards
- Support model deployment and prompt versioning
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS | Access Control | Agentic AI | Airflow | Azure | B testing | BigQuery | CI/CD | Compliance | DBT | Dagster | Data Catalog | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Observability | Data mesh | Delta Lake | Dimensional Modeling | Docker | Drift Detection | Flink | GCP | Iceberg | Infrastructure as Code | Kafka | Knowledge graphs | Kubernetes | LLMOps | Model Deployment | Normalization | PII | Prompt injection | PubSub | Python | RAG | SQL | Security | Snowflake | Terraform | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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