Data Platform Engineer with AI Experience
Posted Updated 46
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Summary
Hands-on technical lead role designing, building, and operating enterprise-scale data platforms and services on Microsoft Azure: data engineering with Synapse, Data Factory, Cosmos DB, and Kusto, plus backend REST APIs/microservices, CI/CD, and monitoring. AI/ML-enabled analytics experience is a plus.
Location: Redmond, WA
Employment Type: Full-Time
Openings: 1
Role Overview:
We are looking for a hands‑on Technical Lead - Data Platform & Services Engineering with strong expertise in Azure Data Engineering, backend services, APIs, analytics, and cloud architecture. The role involves designing, building, modernizing, and operating enterprise-scale data platforms and services on Microsoft Azure.
Key Technical Requirements:
- Azure Synapse Analytics and Azure Data Factory
- Cosmos DB and Kusto / Azure Data Explorer
- ETL/ELT, data warehousing, data modeling
- Data quality, reconciliation, and governance
- REST APIs and Microservices
- Event Hubs and Service Bus
- Entity Framework Core
- Azure DevOps, Git, and CI/CD
- Azure Monitor and Application Insights
Good to Have:
- AI/ML or AI-enabled analytics experience
- React/Angular and TypeScript
- GraphQL
- Power BI
- Infrastructure as Code
Skills
- AI
- Analytics
- Angular
- API
- Azure
- Azure Application Insights
- Azure Data Factory
- Azure DevOps
- Azure Monitor
- Azure Synapse
- CI/CD
- Cloud
- Cosmos Db
- Data Engineering
- Data Modeling
- Data Quality
- Data Warehousing
- DevOps
- .NET
- ELT
- ETL
- Git
- GraphQL
- Infrastructure as Code
- Machine Learning
- Microservices
- Power BI
- React
- REST
- TypeScript