Senior AI Data Engineer at RIB Software North America
Overview
Design and build scalable secure high-performance data platforms for AI applications. Lead enterprise-scale AI-ready data pipelines within Azure ecosystem. Collaborate globally to deliver production-grade solutions. Differentiate through agentic AI focus and real-time data capabilities.
What You'll Do11
- 1Build Data Ingestion Pipelines for SpecLink AI and related platforms
- 2Implement scalable transformation and data quality processes for AI workloads
- 3Design and manage pipelines loading data into storage systems search indices and vector stores
- 4Enable streaming and near real-time data pipelines for AI systems
- 5Orchestrate and automate data workflows with scheduling monitoring
- 6Develop integration components and APIs for real-time and on-demand data access
- 7Implement data quality checks monitoring and alerting for pipeline reliability
- 8Optimize pipelines for performance scalability and cost efficiency
- 9Partner with global teams to implement RAG and AI data solutions
- 10Document data models pipelines dependencies and operational processes
- 11Monitor pipelines in production and handle post go-live maintenance
Requirements11
- 16–10+ years in Data Engineering or related roles
- 2Hands-on experience building end-to-end production-grade data pipelines
- 3Exposure to AI tools like GitHub Copilot Claude Code Cursor
- 4Strong SQL data modeling dimensional normalized lakehouse architectures
- 5Azure Data Platform expertise Synapse Data Factory Fabric Azure SQL Cosmos DB
- 6Understanding of modern data architecture Lakehouse Medallion delta iceberg batch streaming
- 7Real-time event-driven systems streaming asynchronous workflows
- 8Data quality observability monitoring SLAs cost tracking
- 9AI evaluation pipelines golden datasets benchmarking regression datasets
- 10MS SQL Azure SQL Cosmos DB pipelines for AI/ML agentic AI use cases
- 11Incremental loads CDC performance tuning
Salary Insight
Salary not disclosed in listing
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