Lead - IT Data Engineering and Analytics
Tasks
- Architect AI platforms at scale
- Conduct design and code reviews
- Define platform SLAs and lead incident response
- Drive CI CD monitoring and observability
- Ensure enterprise security and regulatory compliance
- Guide data platform initiatives with stakeholders
- Implement testing and CI CD standards
- Improve cost performance and reliability
- Lead Lakehouse and BI semantic layer design
- Lead engineering delivery for a team
- Manage semantic model design
- Own Azure data platform architecture end to end
- Own infrastructure as code architecture
- Set data modeling and PySpark SQL standards
Perks/Benefits
Skills/Tech-stack
AAS | ADLS Gen2 | AI Foundry | AI Platform | Active Directory | Ansible | Azure AI | Azure AI Foundry | Azure Active Directory | Azure Databricks | Azure Networking | CI/CD | Claude | Compute | DAX | Data Contracts | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Databricks Mosaic | Databricks Mosaic AI | Delta Lake | Docker | FinOps | Git | GitHub | Identity Management | Infrastructure as Code | Kimball data modeling | Kubernetes | Microsoft Azure | Microsoft Fabric | Monitoring | Mosaic AI | Observability | Power BI | PySpark | Python | RLS | SQL | SSAS | Storage | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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