Backed by Peak XV.
About the role
This 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 they're looking for
- 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
More about this role
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.
This 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.
Market 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...
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