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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Portfolio Analytics Architect - **Company:** Addepar, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $103,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Big Data, Data Validation, Data Conversion, Extract Transform Load (ETL), Distributed Data Store, Python (Programming Language), SQL Databases, Large Language Models, Apache Spark, Data Analytics, Restful APIs, Databricks - **Published:** August 2, 2026 - **Apply:** https://www.dice.com/job-detail/dc3d7da4-6f14-4f3e-a0ba-576e8350a152 ## About the Role * B.S in Finance, Mathematics, Statistics, Business or Economics * 2+ years experience working in Technology, Finance, or Consulting * Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources * Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals * Working knowledge of REST APIs * Experience with Databricks and/or a cloud-based distributed data platform * Solution-oriented approach and a passion for problem solving * Proven ability to research, design and implement solutions for complex problems * Positive attitude, strong work ethic, proactive and a high contributing team player * Independent, adaptable and can thrive in a fast-paced environment * Excellent communication and presentation skills, with proficiency in handling client objections ## Description A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, outstanding communication skills and the ability to deliver results in adherence with project deadlines while meeting high quality standards. They are passionate about understanding our clients needs, take a hands-on approach to solving problems, work collaboratively with internal teams and take ownership of our clients success., 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/be authorized to begin work in the U.S. on their first day of employment. What You'll Do * Lead the data validation process end-to-end with the client and internal projects teams * Develop scalable data analytics processes for validation in Databricks * Write custom Python logic to detect large-scale data anomalies and automate remediation * Facilitate recurring client sessions to track progress and steer the data validation project through to completion. * Support clients with researching and identifying portfolio data performance discrepancies and make recommendations on how to best fix manual data issues * Review, compare and document system calculation methodologies differences * Coordinate across project teams communicating regular status updates for assigned data projects and while effectively setting expectations * Mitigate project risks by effectively escalating key impediments to stakeholders and executive leadership. * Prioritize and context-switch effectively to complete simultaneous projects; seeing each through to the finish line * Identify and implement AI-driven automation and LLM integrations to streamline implementation ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)