Infrastructure Manager overseeing core compute, storage, and data protection platforms at ICBC. Driving operational excellence and cloud - aligned future in a collaborative work environment.
About the role
- Senior Data & AI Platform Engineer at Orchestry, building a Microsoft Fabric-based Data Warehouse and AI systems for data-driven decision making.
Responsibilities
- Data Warehouse Ownership (Microsoft Fabric) - Own and evolve Orchestry’s Fabric-based Data Warehouse as the trusted foundation for analytics and AI.
- Design and implement scalable data models, transformations, and refresh strategies
- Establish data quality checks, lineage, and trust signals
- Partner with Engineering and Product to onboard new data sources
- Define warehouse patterns that are reliable, understandable, and AI-consumable
- Monitor and optimize Fabric capacity usage, storage growth, refresh schedules, and query performance
- AI-Ready Data Architecture - Design the warehouse not just for reporting, but for reasoning.
- Create schemas and semantic layers optimized for retrieval, aggregation, and temporal analysis
- Build curated datasets and feature-like abstractions for AI consumption
- Develop secure, scalable retrieval pipelines (RAG-style patterns) across structured and unstructured data
- Governance, Security & Responsible AI - Define and enforce role-based access controls and data boundaries.
Requirements
- 6+ years experience in software engineering, data engineering, applied AI engineering, or a related technical role
- Proven experience building production-grade AI systems beyond proof-of-concepts
- Strong hands-on experience with LLMs, agentic workflows, and tool-using systems
- Experience integrating AI systems with structured and unstructured data sources
- Demonstrated ability to design AI-ready data models and retrieval patterns for reasoning and automation
- Experience with modern data warehouses or analytics platforms
- Strong software engineering fundamentals (APIs, testing, version control, maintainable architecture)
- Ability to independently own ambiguous problems and deliver end-to-end solutions
- Strong communication skills with both technical and non-technical stakeholders
- Experience building AI-powered features shipped as part of a customer-facing product, not just internal tooling
- Experience designing tool/function-calling interfaces for LLMs and working with multi-tenant data architectures
Benefits
- Competitive salary and stock options
- Extended health benefits package
- Fully remote environment built intentionally for trust and outcomes
- Real ownership, real impact, and an opportunity to help define the future of the company
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