Arta is on an audacious and incredibly rewarding mission: to pave the way for people everywhere to lead more successful financial lives. Arta leverages AI and sophisticated digital tools to make financial products once reserved for ultra-high-net-worth individuals accessible to a broader global audience. Think of it as your own digital family office, combining intelligent investment strategies, alternative assets, private market access, and smart automation to help you grow and protect your wealth effortlessly. We value trust, teamwork, and adaptability.
The RoleThis role offers a mix of data infrastructure, distributed systems, financial data, and product engineering. You will work on systems that ingest and normalize complex financial datasets, calculate portfolio and investment metrics at scale, and turn that data into reliable products and experiences for our clients.
What You Will DoMarket Data & Core Data Infrastructure - We are expanding market-data coverage across additional global markets and expect to support increasingly rich instrument-level datasets over time. The team owns core data infrastructure responsible for mapping, cleaning, formatting, and validating data across dozens of pipelines and services.
Expand global market and instrument data coverage
Build and improve reusable data-processing infrastructure
Strengthen data quality and validation systems
Improve the reliability and maintainability of a large collection of production data pipelines
Establish better patterns for shared ownership and operational resilience
Alternative Investments Data - We are expanding our support for alternative investment data. This work spans the full data lifecycle, from bringing new data into the platform to making it reliable and useful to end users.
Backend data ingestion, validation, and integration with downstream systems
Frontend experiences for displaying investment data
Internal tooling for identifying, validating, and correcting data issues
Tools and workflows for onboarding new accounts and funds
Ongoing improvements as we support more accounts, funds, and data sources
Investment Performance Metrics - We operate services that calculate investment performance metrics across client portfolios. As the number of accounts and volume of data grow, we are investing in making these systems significantly more scalable and efficient.
Improving how large volumes of portfolio data are read and processed
Optimizing performance calculations and reducing processing time
Evaluating distributed data-processing approaches for computationally intensive workloads
Simplifying existing calculation pipelines as we integrate additional external data sources
Improving the reliability, observability, and maintainability of performance systems
B2B Asset Master - We are building an Asset Master to support B2B agentic workflows, with a focus on providing reliable and structured asset data to downstream workflows.
Building and maintaining data feeds for B2B agentic workflows
Improving data quality and reliability
Supporting new B2B integrations and use cases as they grow
Business Intelligence & Metrics - The team owns and improves our internal business intelligence and metrics dashboards, which provide visibility into key business, product, and operational metrics which includes the following:
Maintaining and improving BI dashboards and reporting
Building new metrics and views as business needs evolve
Ensuring the underlying data is accurate, reliable, and easy to understand
Improving the overall self-service analytics experience across the company
3+ years experience in software engineering with a primary focus on the reliability, observability, and maintainability of production-grade systems.
Proven experience building and maintaining scalable data infrastructure, including end-to-end ingestion, validation, and integration pipelines for complex datasets.
Proficiency in optimizing data-processing workflows and calculation performance to handle high-volume portfolio data efficiently and reliably.
Demonstrated ability to develop internal tools and dashboards that improve data quality, business intelligence, and self-service analytics capabilities.
Strong capacity to design and implement robust, reusable data schemas and workflows that adapt to evolving product needs and B2B integrations.
A collaborative mindset that prioritizes shared ownership, operational resilience, and effective cross-functional teamwork.
Hands-on experience with distributed data-processing approaches and managing computationally intensive workloads.
Experience with Financial dataset is a plus.
Location: Bay Area preferred (3 days/week in our Mountain View office). We're flexible for exceptional remote candidates on the West Coast.
Introduction with Head of Talent, 20-30m
Engineering Team Conversation 30m- PHONE CALL
Coding/Algorithm/Data Structures, 60m - VIRTUAL
Coding/Algorithm/Data Structures, 60m - ONSITE
Domain Knowledge & System Design, 60m - ONSITE
Co-founder Interview, 30m
A competitive salary and benefits package, with ample opportunities for growth and advancement
A vibrant and dynamic work environment where innovation, collaboration, and continuous learning are highly valued
The opportunity to work with a diverse and talented team of industry experts, passionate about shaping the future of finance
Robust health insurance offering for you and your family
High deductible health plan available with health savings account contribution
Generous parental leave
Competitive PTO benefits
We determine your salary based on factors including your interview performance, job-related skills, experience, and relevant education or training. Our offers are based on salary bands that are updated periodically using market benchmarks and consider geographic location as well (for example, higher cost regions like San Francisco or New York). If you are presented with an offer, we will review the base salary, benefits, number of options, notional option value and strike price. We would like to know if you accept our offer within 7 days.
Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation.
IC I: 110,000-180,000
IC II: 160,000-230,000
IC III: 180,000-300,000
Skills Required
- 3+ years of experience in software engineering focused on reliable, observable, and maintainable production systems
- Experience building and maintaining scalable data infrastructure, including end-to-end ingestion, validation, and integration pipelines
- Experience optimizing data-processing workflows and calculation performance for high-volume portfolio data
- Experience developing internal tools and dashboards for data quality, business intelligence, and self-service analytics
- Ability to design and implement reusable data schemas and workflows for evolving product needs and B2B integrations
- Experience with distributed data-processing approaches and computationally intensive workloads
- Collaborative mindset prioritizing shared ownership, operational resilience, and cross-functional teamwork
- Experience with financial datasets
- Ability to work in the Bay Area three days per week or remotely from the West Coast as an exceptional candidate
What We Do
Unlocking the "financial superpowers" of the ultra-rich through technology. Arta Finance is the digital family office for the world. It empowers more people to gain the financial superpowers that, until now, were only accessible by ultra-high-net-worth individuals. Traditional family offices typically hire teams of professionals to access sophisticated financial strategies, exclusive investment opportunities, or connections to finance and lifestyle professionals. Through technology, Arta aims to bring these advantages to millions more people globally. Founded by a team of former Google executives and researchers, Arta is a US SEC-registered investment advisor backed by Sequoia Capital India, Ribbit Capital, Coatue and more than 140 luminaries in tech and finance. To learn more, visit artafinance.com. See disclosures here: https://artafinance.com/disclosures#social-media
