Lead IT Data Engineer (SQL/Python)
USD 107K-203K (estimate) Senior-level Full Time
Tasks
- Architect agentic AI systems with multi agent workflows
- Architect end-to-end data solutions
- Build containerized data pipeline architectures
- Define data contracts and API design standards
- Define enterprise data modeling strategy
- Define software engineering best practices and mentoring
- Design human in the loop escalation paths
- Drive data observability and platform reliability
- Establish AI governance for safety and compliance
- Establish data governance, security, and compliance
- Evaluate buy versus build for data and AI tools
- Implement CI CD standards for data pipelines
- Implement LLMOps for model deployment and monitoring
- Implement infrastructure as code for data platform
- Lead AI platform evaluation and integration
- Own data strategy and technical roadmap
- Plan data platform budget and capacity
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 | Autonomous Data Pipelines | Azure | B testing | Bias detection | BigQuery | CI/CD | Containerized architecture | Cost Optimization | DBT | Dagster | Data Catalog | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data as a Product | Data exfiltration | Data mesh | Delta Lake | Dimensional Modeling | Docker | Drift Detection | Ethics Policies | Flink | GCP | Iceberg | Infrastructure as Code | Kafka | Knowledge graphs | Kubernetes | LLMOps | Lakehouse Architecture | Model Deployment | Multi-Agent | Multi-Agent Systems | Normalization | PII protection | Prompt injection | Prompt versioning | Prompt-injection protection | Python | Retrieval-Augmented Generation | SQL | Security guardrails | Snowflake | Terraform | “as-code”
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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