Engineering Manager, Reference Data

About this role

<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 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo. </p></div><h4><span style="text-decoration: underline;"><strong>The Role</strong></span></h4> <p>We are seeking an experienced and highly motivated Engineering Manager to lead the Reference Data Team in the US, a critical component of the Addepar Platform team. The Addepar Platform is a comprehensive data fabric that provides a single source of truth for our product set, encompassing a centralized and self-describing repository, API driven data services, integration pipeline, analytics infrastructure, warehousing solutions, and operating tools.</p> <p>The Reference Data Team is responsible for the acquisition, conversion, cleansing, reconciliation, modelling, tooling, and infrastructure related to the integration of market and security master data from third-party data providers. The team is critical to our core business, enabling alignment across public and alternative investment data products and empowering clients to effectively manage their investment portfolios.</p> <p>As the Engineering Manager, you will play a crucial role in leading and managing a team to deliver complex engineering projects using a modern and diverse technology stack, including PySpark, Python, AWS, Terraform, Java, Kubernetes, microservices, and more.</p> <p data-renderer-start-pos="4121" data-local-id="411228da93f0">Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is <span data-sheets-root="1">$160,000 - $250,000</span> (base salary) + bonus + equity + benefits.</p> <p data-renderer-start-pos="4560" data-local-id="f58b2cc32a20">Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.</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 <span data-highlighted="true" data-vc="highlighted-text"><span class="_kqswh2mm"><span class="_5pioz8co _189e1dm9 _1il9buyh _19lc184f _d0altlke" data-testid="definition-highlighter">H-1B</span></span></span>, <span data-highlighted="true" data-vc="highlighted-text"><span class="_kqswh2mm"><span class="_5pioz8co _189e1dm9 _1il9buyh _19lc184f _d0altlke" data-testid="definition-highlighter">F-1</span></span></span>/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>Drive the technical direction in close alignment with your product counterparts, direct engineering peers in other regions and the wider engineering community</li> <li>Build and manage a team of exceptional engineers to design, develop, and deploy scalable solutions that meet client requirements on time</li> <li>Be a player-coach who leads the team to build frameworks that supports highly performant ingestion and distribution of financial data and build AI-native products, moving from initial prototype to scalable production services with high velocity.</li> <li>Advocate for standard methodologies, find opportunities for automation and optimizations in processes to increase throughput , latency and accuracy</li> <li>Develop and maintain efficient process controls and accurate metrics that improve data quality as well as increase operational efficiency</li> <li>Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement</li> </ul> <h4><span style="text-decoration: underline;"><strong>Who You Are</strong></span></h4> <ul> <li>2+ years of proven experience leading engineering teams, 5+ years of professional backend engineering experience as an individual contributor.</li> <li>A computer science degree or equivalent experience</li> <li>Strong problem-solving and decision-making skills</li> <li>Prior experience with distributed systems, microservices and messaging queues</li> <li>Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL and data…