Data & AI Senior Engineer
Tasks
- Define CI CD and infrastructure as code best practices
- Define data and AI platform engineering standards
- Drive adoption of modern Azure data and AI capabilities
- Enable engineering teams through mentorship and continuous improvement
- Ensure compliance with enterprise architecture security governance and FinOps
- Establish environment lifecycle management standards
- Establish standards for data pipelines data products semantic models and lineage
- Guide teams to design develop and operate scalable data solutions
- Implement data platform frameworks and best practices
- Set workspace monitoring observability and operational excellence standards
- Support platform modernization and cloud migration
Perks/Benefits
- Great office locations
- Health insurance
- Hybrid work
- Life insurance
- Referral bonuses
- Training programs
- Work-life balance
Skills/Tech-stack
Access Control | Azure Databricks | CI/CD | Cloud Architecture | Cloud Cost Optimization | Cloud Migration | Cost Optimization | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Pipelines | Data Products | Data Quality | DataOps | DevOps | Environment lifecycle management | FinOps | GitHub Actions | Infrastructure as Code | Lakehouse | Lifecycle Management | Metadata Management | Microsoft Azure | Microsoft Fabric | Microsoft Purview | Monitoring | Observability | Power BI | Semantic models | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
AI | AI Engineer | Data Engineering | Data Engineering Lead | Data Platform | Data Platform Engineer | Engineer | Engineering Lead | Lead | Platform Engineer
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