Forward Deployed Data Solution Engineer

About the Role

This is not a traditional enterprise architecture role.

Accelerant is operating in a period of rapid change. Significant internal systems across finance, operations, and data are being implemented. Business users across the organisation are building AI-enabled capabilities at a pace that exceeds the capacity of central engineering teams to review and govern them. The ways in which software is designed and built are themselves changing, with AI-assisted development and agentic tooling becoming part of everyday practice.

The Forward-Deployed Solution Engineer exists to respond to all of this in real time, from inside the teams doing the work, not from a distance.

This person is embedded with delivery programmes and product teams. They review decisions and code as they are made, not after the fact. They drive solutions quickly, make independent technical judgements, and hold the quality bar without becoming a bottleneck. They are the link between what the business needs to build and what can actually be operated and maintained at enterprise scale.

You will sit inside delivery teams for the duration of engagements, not alongside them. You will attend design and development sessions, review technical decisions as they are being made, and intervene when something is heading in the wrong direction. You will not wait for a review gate. You will be the engineering rigour in the room.

You will continuously assess whether what is being built conforms to Accelerant’s architecture principles, data standards, and integration patterns. Where it does not, you will propose a better path and help the team take it. Where documented patterns do not yet exist, you will create them. You will not rely on others to produce the standard after the fact.

You will be capable of making a sound technical decision on the day, with the information available, and moving forward. You will not wait for consensus where it is not needed. You will know when to escape and when to act. The teams you work with will rely on your judgement.

Across Accelerant, business users are building capabilities using AI tools, low-code platforms, and scripting environments. Many of these capabilities are genuinely useful and represent Accelerant’s direction of travel. Your job is to assess what has been built, understand what it actually does, identify the gaps between its current state and enterprise readiness, and create a clear path to production. You will ensure these solutions have appropriate data contracts, operational ownership, documentation, and supportability before they are relied upon by the business.

You will design and validate integration patterns between the enterprise systems Accelerant operates, including ERP, CRM, HR, and reinsurance platforms, and the data platform and applications that consume data from them. You will ensure that integrations are clean, well-documented, API-first where appropriate, and built to a standard that does not require the original designer to be present in order to be supported.

You will work with delivery teams and the Data Office to ensure that data products are described at source, that ownership is clearly assigned, and that the canonical data models Accelerant depends on are accurate and accessible. You will understand the difference between a physical implementation and a logical data model, and you will be able to articulate why that distinction matters to the people building on top of these products.

You will ensure that technical decisions are recorded,…