Manager, Software Engineering - Reference Data

at  Addepar

WHO WE ARE

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market and client data for over $6 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh and Pune.

THE ROLE

We are seeking an experienced and highly motivated Engineering Manager to lead the Reference Data Team in the UK, 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.
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.
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.

WHAT YOU’LL DO

• Drive the technical direction in close alignment with your product counterparts, direct engineering peers in other regions and the wider engineering community.
• Build and manage a team of exceptional engineers to design, develop, and deploy scalable solutions that meet client requirements on time.
• Lead a team to build frameworks that supports highly performant ingestion and distribution of financial data.
• Advocate for standard methodologies, find opportunities for automation and optimizations in processes to increase throughput , latency and accuracy.
• Develop and maintain efficient process controls and accurate metrics that improve data quality as well as increase operational efficiency
• Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement.WHO YOU ARE
• 2+ years of proven experience leading engineering teams, 5+ years of professional backend engineering experience as an individual contributor.
• A computer science degree or equivalent experience.
• Strong problem-solving and decision-making skills.
• Prior experience with distributed systems, microservices and messaging queues.
• Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL and data pipelines
• Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
• Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus