3 days ago
Pune, IndiaMid Level
Responsibilities
- Architect, build, and deploy custom integrations, automations, and data pipelines using Addepar APIs, ADX, Databricks, and modern engineering tools.
- Design production-grade solutions that improve client onboarding efficiency, reduce time-to-value, and enable operational scale.
- Build AI-, LLM-, and machine-learning-enabled automation for data transformation, validation, and reconciliation.
- Own ADX implementations and design Databricks data infrastructure for client onboarding and analytics.
- Translate ambiguous client requirements into scalable solutions through discovery, prototyping, and iterative delivery.
- Write production-quality Python for ETL pipelines, API integrations, data validation frameworks, and automation tools.
- Lead technical workstreams from requirements gathering through production deployment 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 team.
- Manage technical expectations with client stakeholders and internal cross-functional teams across simultaneous engagements.
- Act as a technical advisor and trusted partner to clients, identifying opportunities to deliver additional value.
Requirements
- At least 3 years of experience in software engineering, data engineering, or forward-deployed technical roles.
- Advanced Python proficiency with experience building production 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 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.
- Understanding of financial data domains, including portfolio management, performance analytics, and multi-asset-class portfolios.
- Strong problem-solving, communication, adaptability, and client-facing collaboration skills.
- Experience with Git, CI/CD pipelines, and modern software development practices.
Benefits
- Applicants must have legal authorization to work in the country where the role is based on the first day of employment.
- Addepar is an equal opportunity employer and provides reasonable accommodations for individuals with disabilities.
Tech Stack
Categories
Forward Deployed
About Addepar
Addepar builds a SaaS platform for wealth and investment management firms to aggregate portfolio, market and client data, analyze holdings, and produce client reporting. The company sells software and data integrations used across investment operations, with APIs and a broad partner ecosystem to plug into other tools. Founded in 2009 and headquartered in New York, it is privately held and used by over a thousand firms globally to manage trillions in assets.