Field Engineer

<div class="content-intro"><p><span style="text-decoration: underline;"><strong>Who We Are</strong></span></p> <p>Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.</p></div><h4><span style="text-decoration: underline;"><strong>The Role</strong></span></h4> <p>As a Field Engineer you will embed directly with clients to architect and build mission-critical integrations, automations, and data solutions. Operating at the intersection of engineering and client success, you will serve as Addepar's technical vanguard - translating complex business requirements into production-grade systems while driving onboarding efficiency and operational scale. You will be the technical expert across Addepar's full solution suite - from API integrations and automation frameworks to advanced data platforms (including our white-labeled Databricks offering, ADX) and AI-driven tooling - solving our clients' most challenging problems. This role combines a forward-deployed model with deep technical expertise in modern software engineering and financial data systems.</p> <p>Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.</p> <h4><span style="text-decoration: underline;"><strong>What You’ll Do</strong></span></h4> <ul> <li>Deploy directly to client sites (virtual or in-person) to architect, build, and deliver custom integrations, automations, and data pipelines using Addepar's APIs, ADX (Databricks), and modern engineering tools</li> <li>Design and implement production-grade solutions that dramatically improve client onboarding efficiency, reduce time-to-value, and enable operational scale</li> <li>Build intelligent automation leveraging AI, LLMs, and machine learning to solve complex data transformation, validation, and reconciliation challenges</li> <li>Serve as the technical owner for ADX implementations, designing robust data infrastructure within Databricks to streamline client data onboarding and analytics</li> <li>Translate ambiguous client requirements into flexible, scalable technical solutions through deep discovery, prototyping, and iterative delivery</li> <li>Write production-quality Python code for ETL pipelines, API integrations, data validation frameworks, and automation tooling</li> <li>Lead technical workstreams end-to-end, from requirements gathering through production deployment, owning outcomes and client success</li> <li>Collaborate with Product, Engineering, and Services teams to identify opportunities for productization and influence platform roadmap</li> <li>Develop internal tools, frameworks, and best practices that accelerate delivery across the broader team</li> <li>Effectively set, manage, and communicate technical expectations with both client stakeholders and internal cross-functional teams</li> <li>Prioritize and context-switch effectively