Job description

Who We Are 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 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking an experienced and highly motivated Staff Software Engineer for 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. 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 Staff Software Engineer, you will play a crucial role in architecting complex systems and implementing solutions to deliver on business outcomes 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 for complex solutions in close alignment with your product counterparts, direct engineering peers in other regions and the wider engineering community Partner with multi-functional teams to design, develop, and deploy scalable data solutions that meet business requirements. 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. Evaluate and drive strategic business and technology decisions for the company and for customers Be a technical thought leader in multiple areas who educates and shares best practices. Your contributions deliver strategic and prescriptive guidance Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement Who You Are B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience) 7+ years of software engineering experience Prior experience with distributed systems, microservices and messaging queues Ability to own complex projects involving partners across multiple team Proven ability to collaborate with and mentor other engineers Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL, NoSQL, OLAP, and/or data lake architectures 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 Strong problem-solving and decision-making skills 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 this role within the United States. Compensation for this role includes base salary + bonus + equity + benefits. 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. Base Salary Range $150,000 — $234,000 USD Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com .

Requirements

Must-haves

B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience)
7+ years of software engineering experience
Prior experience with distributed systems, microservices and messaging queues
Ability to own complex projects involving partners across multiple team
Proven ability to collaborate with and mentor other engineers
Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL, NoSQL, OLAP, and/or data lake architectures
Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
Strong problem-solving and decision-making skills
Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

Nice-to-haves

Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus
Compensation for this role includes base salary + bonus + equity + benefits.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapipythonawsjavakubernetessql

Platform: greenhouse
Effort: quick