Forward Deployed Data Solution Engineer

🕒 May 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Accelerant

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🛡️ Insurance

☁️ SaaS

🤝 B2B

💰 $150M Private Equity Round - Accelerant on 2023-06

Insurance • SaaS • B2B

Accelerant is a digital-first risk exchange and insurance platform that connects managing general agents (MGAs), underwriters, reinsurers, and institutional capital through a tech-powered, data-driven marketplace. The platform provides real-time analytics, underwriting tools, performance metrics, and operational support (actuarial, claims, regulatory) to streamline specialty insurance distribution and enable faster, more transparent capital deployment. Accelerant positions itself as a SaaS-style partner for specialty insurance firms, focused on improving efficiency, transparency, and profitable growth.

📋 Description

• Sit inside delivery teams for the duration of engagements, not alongside them • Attend design and development sessions, review technical decisions as they are being made • Continuously assess whether what is being built conforms to Accelerant's architecture principles • Propose better paths and help the team take them where documented patterns do not exist • Make sound technical decisions quickly with available information • Assess capabilities built by business users and create a clear path to production • Design and validate integration patterns between enterprise systems and data platforms • Collaborate with the Data Office to ensure data products are accurate and accessible • Document technical decisions and ensure architectural decision records exist and are accessible

🎯 Requirements

• Strong practical knowledge of cloud platforms, particularly Azure and AWS • Comfortable with API design and integration patterns, including REST and event-driven architectures • Understand data product concepts, lineage, ownership, and what it means to describe data at source • Practical experience with at least one AI development framework • Experience working with enterprise SaaS platforms, particularly in finance, operations, or insurance domains • Experience with D365, Salesforce, or similar platforms is relevant. • Clear communication with both engineers and business stakeholders • Comfort with ambiguity and engaging with undefined problems

🏖️ Benefits

• Health insurance • Paid time off • Professional development opportunities