Data Platform Engineer

Applying to the company? Our only careers site is the company.com/careers [link for members] and we only recruit via @the company.com [link for members] email. Details below.

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About the company

Today’s financial infrastructure is archaic, expensive, inefficient and risky — supporting a system that leaves out more people than it lets in. So we’re rebuilding it.

We’re on a mission to open the world’s financial system to everyone by enabling the instant movement of any asset, any time, in a trustworthy way. For over a decade, we’ve built blockchain infrastructure that tokenizes, custodies, trades and settles assets for the world's leading financial institutions, like PayPal, Venmo, Mastercard, Interactive Brokers and Charles Schwab.

About the team

The Data Engineering team at the company builds and maintains the data infrastructure that powers our engineering partners and analytics teams, providing scalable, reliable, and secure data access for product analytics, business intelligence, client and regulatory reporting, and operational efficiencies. You'll join a small, high-impact group of engineers across US and India time zones, working with teams across the company to continuously enhance our data platform, driving innovation, optimizing costs, and unlocking new revenue opportunities.

About the role

The Data Platform Engineer at the company serves as an owner of key parts of our data platform, from design through production operation. Depending on the problem, your work may span data pipelines, streaming systems, data lakes and warehouses, databases, Kubernetes, cloud infrastructure, automation, security, or governance. You will turn ambiguous needs into reliable, maintainable systems and take responsibility for their operational outcomes. We're looking for strong engineering fundamentals, deep experience in at least one relevant area, sound technical judgment, and the ability to learn unfamiliar systems quickly. You don't need experience with every part of our stack: a strong engineer with Spark experience is welcome even though we don't currently use it, because what matters is how you've designed, scaled, and operated data systems.

What you’ll do

• Own data-platform projects end to end: clarify the problem, evaluate alternatives, design the system, implement and roll it out safely, document it, and operate it in production.

• Design and evolve reliable, scalable, secure, and cost-effective systems for data ingestion, movement, storage, processing, and access.

• Build and improve batch and streaming pipelines and the platform capabilities that support them.

• Develop maintainable software, automation, infrastructure, and CI/CD workflows that make platform changes safer and more repeatable.

• Improve observability, performance, capacity management, incident response, recovery, and operational readiness across the platform.

• Incorporate security, access control, data protection, and governance requirements into platform design and delivery.

• Partner with engineering, analytics, security, compliance, and business stakeholders to understand needs, explain tradeoffs, and deliver pragmatic solutions.

• Evaluate and learn new technologies as platform needs evolve, applying sound engineering judgment rather than defaulting to a familiar tool.

• Use AI tools thoughtfully to accelerate research, design, implementation, testing, debugging, and documentation while critically validating the output.

• Contribute to technical direction, design reviews, documentation, and mentoring across a small, high-impact team working across US and India time zones.

About you

• A record of independently owning and delivering substantial production systems or platform work from definition through operation.

• Strong system-design and problem-solving skills, including the ability to reason about scale, reliability, failure modes, security, cost, maintainability, and migration tradeoffs.

• Deep production experience in at least one relevant area, such as data pipelines and ingestion, distributed batch or stream processing, Kafka or similar messaging systems, data lakes or warehouses, time-series databases, PostgreSQL or other operational stores, Kubernetes, or cloud infrastructure.

• Proficiency in at least one general-purpose programming language and experience writing, testing, reviewing, and operating maintainable production code.

• Practical experience with automation, production operations, observability, incident response, and safe software or infrastructure delivery.

• Demonstrated learning agility: you have successfully become productive in unfamiliar technologies or domains and can do so without heavy day-to-day direction.

• Clear written and verbal communication and the ability to collaborate asynchronously across teams and time zones.

• Active, responsible use of AI tools in your engineering workflow, paired with strong validation and independent technical judgment.

You might also have

• Experience with one or more technologies in our current environment, such as Snowflake, Kafka, Kubernetes, AWS, PostgreSQL, Terraform/Terragrunt, dbt, Dagster, data lakes or open table formats, or time-series databases.

• Experience designing or operating high-volume ingestion, change-data-capture, batch-processing, or event-streaming systems.

• Experience building cloud infrastructure, internal platforms, reusable infrastructure modules, or developer tooling.

• Experience with data governance, security, access control, classification, masking, lineage, or identity integrations.

• Experience working in fintech, banking, payments, healthcare, or another regulated or security-sensitive environment.

Important Notice for the company Applicants

Fraudulent accounts sometimes pose as the company recruiters on LinkedIn and other platforms, and fake websites sometimes impersonate our careers site. These scammers attempt to deceive applicants into paying for job opportunities or providing personal financial information.

To verify a legitimate the company opportunity

• Our only official careers site is the company.com/careers [link for members]

• We only use @the company.com [link for members] email addresses

• We never ask for payment or financial details to apply, interview, or work here

• For technical roles, we do not perform a coding interview without prior screening by our engineering team

Thanks for your interest in the company!