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Addepar

Cloud-based wealth management data platform

Field Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • At least 3 years of experience in software engineering, data engineering, or forward-deployed technical roles.
  • Advanced proficiency in Python and 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.
  • Familiarity with AI/ML tools and experience implementing LLM-driven automation solutions.
  • Strong understanding of financial data domains, including portfolio management, performance analytics, and multi-asset class portfolios.
  • Ability to communicate technical concepts to non-technical audiences.
  • Ability to thrive in ambiguous, fast-paced environments while maintaining high-quality standards.
  • Experience with version control (Git), CI/CD pipelines, and modern software development practices.

Responsibilities

  • Deploy directly to client sites, virtually 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 improve client onboarding efficiency, reduce time-to-value, and enable operational scale.
  • Build intelligent automation using AI, LLMs, and machine learning to solve data transformation, validation, and reconciliation challenges.
  • Serve as the technical owner for ADX implementations by designing data infrastructure within Databricks to streamline client data onboarding and analytics.
  • Translate ambiguous client requirements into flexible, scalable technical solutions through 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 productization opportunities and influence the platform roadmap.
  • Develop internal tools, frameworks, and best practices that accelerate delivery across the broader team.
  • Set, manage, and communicate technical expectations with client stakeholders and internal cross-functional teams.
  • Prioritize and context-switch across simultaneous client engagements and see each through to successful completion.
  • Act as a technical advisor and trusted partner to clients, proactively identifying opportunities to drive additional value.

About the Company

Addepar

Cloud-based wealth management data platform

Addepar offers a cloud-based wealth management platform that consolidates data for data aggregation, analytics, and reporting. It ingests data from custodians, fund administrators, and broker-dealers to present a single, real-time view with tools for performance, risk, scenario modeling, and automated billing, plus a broad API and hundreds of integrations. It specializes in complex, multi-asset and illiquid portfolios (like private equity and real estate) for high-net-worth clients, with pricing based on assets under management. Its goal is to deliver transparent, data-driven insights and an integrated, scalable system that streamlines portfolio oversight and operations for wealth managers.

Company size
1,001-5,000
Company stage
Series G
Total funding
$872.8M
Headquarters
New York City, New York
Founded
2009

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