Manager, Software Engineering - Reference Data

Summary

Join Addepar's growing team as an Engineering Manager to lead the Reference Data Team in the UK. You will drive the technical direction, build and manage a high-performing engineering team, and develop scalable solutions using a modern tech stack (PySpark, Python, AWS, Terraform, Java, Kubernetes, microservices). The team is responsible for acquiring, converting, cleansing, and integrating market and security master data from third-party providers. This role requires 2+ years of experience leading engineering teams and 5+ years of backend engineering experience. A computer science degree or equivalent is needed, along with strong problem-solving skills and experience with distributed systems and microservices. Passion for FinTech and solving complex problems in investment management is a plus.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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