Who We Are

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.

The Role

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.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

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
Design and implement production-grade solutions that dramatically improve client onboarding efficiency, reduce time-to-value, and enable operational scale
Build intelligent automation leveraging AI, LLMs, and machine learning to solve complex data transformation, validation, and reconciliation challenges
Serve as the technical owner for ADX implementations, designing robust data infrastructure within Databricks to streamline client data onboarding and analytics
Translate ambiguous client requirements into flexible, scalable technical solutions through deep discovery, prototyping, and iterative delivery
Write production-quality Python code for ETL pipelines, API integrations, data validation frameworks, and automation tooling
Lead technical workstreams end-to-end, from requirements gathering through production deployment, owning outcomes and client success
Collaborate with Product, Engineering, and Services teams to identify opportunities for productization and influence platform roadmap
Develop internal tools, frameworks, and best practices that accelerate delivery across the broader team
Effectively set, manage, and communicate technical expectations with both client stakeholders and internal cross-functional teams
Prioritize and context-switch effectively across simultaneous client engagements, seeing each through to successful completion
Act as a technical advisor and trusted partner to clients, proactively identifying opportunities to drive additional value

Who You Are

Minimum 3+ years of experience in software engineering, data engineering, or forward-deployed technical roles
Advanced proficiency in Python with experience building production-grade applications, APIs, and data pipelines
Strong understanding of REST APIs, authentication patterns, and integration architecture
Hands-on experience with Databricks, Spark, and distributed data processing frameworks
Proficiency in SQL and experience working with large-scale datasets across relational and NoSQL databases
Experience designing and implementing ETL/ELT pipelines for complex data transformations