Databricks, AWS, Technical Lead, Principal Engineer. Front office trading technology and data with a heavy AI agenda. Tier 1 commodities trader.
Ink Search are representing a global, prestigious commodities trader in Central London. Group Technology is delivering a Cloud Smart, Data First strategy: a multi-year programme to consolidate fragmented data across the firm's eTRMs, risk, finance, operations and asset systems into a connected, enterprise-grade data backbone. This role is the technical delivery owner for the Intelligence Platform end-to-end, the person who turns the target architecture, design principles and capability roadmap into a working, production-grade platform. This is a hands-on, build-it role as much as a lead-it role. The successful candidate will have personally built a comparable data/AI platform before, not just directed one, and will bring that experience to bear, leading a team of internal technology leads while directing the work of multiple external vendors and delivery partners (systems integrators, Databricks/AWS partners, specialist tooling vendors).
Key responsibilities:
Platform architecture & hands-on delivery
- Execution of the technical build of the Intelligence Platform end-to-end: lakehouse (Databricks/AWS, Iceberg/Delta), semantic layer, catalogue/lineage, streaming backbone, storage & lifecycle, and AI/agent enablement
- Engineer and review the platform's foundational components
- Guide and enforce engineering standards: CI/CD, environment parity, code review, testing and observability
- Build and operate the streaming backbone (Kafka/Kinesis/Flink, CDC) as a first-class capability
- Participate in the design & delivery of the Enterprise Knowledge Graph and the semantic/context layer
- Deliver the AI & Agent Enablement band, governed retrieval, MCP gateway and tool registry
- Lead a team of internal/external technology leads, setting technical direction, unblocking delivery and building bench strength.
- Own the technical delivery plan and roadmap for the Intelligence Platform
Qualifications
- Significant hands-on experience architecting and building enterprise-scale data/AI platforms,
- Deep technical fluency across AWS and Databricks
- Direct experience building and operating streaming/CDC pipelines (Kafka, Kinesis, Flink or equivalent)
- Experience designing and building Knowledge Graphs and integrating them with AI/agentic retrieval patterns.
- Track record leading technical teams and directing third-party vendors/SIs to a shared delivery outcome.
Preferred Qualifications
- Experience in commodities trading, energy or financial services, with familiarity of trading platforms and trading data domains (trade, position, P&L, exposure, curves).
- Hands-on experience with AI/agentic frameworks and governed retrieval/RAG patterns.
- Experience with open table formats (Iceberg/Delta) and multi-engine lakehouse architectures.
- Familiarity with operating in a federated/Data Mesh delivery model, enabling domain teams to self-serve on a shared platform.
Attributes to success
- Builder first: wants to be in the architecture and the code, not just the roadmap slide
- Comfortable being the technical anchor across multiple vendors simultaneously
- Pragmatic under delivery pressure: sequences a multi-year target architecture into shippable, evidenced increments.
This is a really exciting opportunity and requires a "best in class" Technical Lead with a strong pedigree in trading orientated data platform architecture and delivery. The client are offering an exceptional day rate.
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