Senior Data and AI Platform Engineer
Tasks
- Build and maintain data ingestion pipelines into the Lakehouse
- Create reusable data modeling documentation observability testing governance and AI readiness patterns
- Design build and maintain data platforms and pipelines for analytics data science BI and AI
- Enable enterprise agentic analytics with trusted datasets semantic definitions and governed access
- Lead Databricks Lakehouse architecture governance development patterns and operating practices
- Monitor data platform health pipeline reliability cost performance usage and trust
- Operate Unity Catalog governed data access data lineage metadata management and observability
Perks/Benefits
Skills/Tech-stack
Analytics engineering | CI/CD | DBT | Data Engineering | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Transformation | Data platform | Data platform engineering | Databricks | Databricks SQL | Delta Lake | Infrastructure as Code | Lakehouse Architecture | Metadata Management | Orchestration | Platform Engineering | Python | SQL | Semantic Modeling | Semantic layer | Terraform | Test automation | Unity Catalog | “as-code”
Education
N/A
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