[Hiring] Engineering Manager, Reference Data @Addepar

Role Description

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
• Operating tools

The Reference Data Team is responsible for:

• Acquisition, conversion, cleansing, reconciliation, modelling, tooling, and infrastructure related to the integration of market and security master data from third-party data providers
• Enabling alignment across public and alternative investment data products
• 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

Qualifications

• 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

Requirements

• Drive the technical direction in close alignment with your product counterparts
• Build and manage a team of exceptional engineers to design, develop, and deploy scalable solutions that meet client requirements on time
• Be a player-coach who leads the team to build frameworks that support 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
• Work in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement

Benefits

• Base salary range: $160,000 - $250,000 (base salary) + bonus + equity + benefits
• Specific salary range for your preferred location can be shared during the hiring process