Data Platform Engineer

The role

The Data Platform Engineer owns key parts of the data platform from design through production operation. You will build and maintain data infrastructure including pipelines, streaming systems, data lakes, and cloud infrastructure.

What you will do

• Own data-platform projects end to end from design to production operation.
• 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 platform capabilities.
• Develop maintainable software, automation, infrastructure, and CI/CD workflows.
• Improve observability, performance, capacity management, incident response, recovery, and operational readiness.
• Incorporate security, access control, data protection, and governance into platform design.
• Partner with engineering, analytics, security, compliance, and business stakeholders.
• Evaluate and learn new technologies as platform needs evolve.
• Use AI tools to accelerate research, design, implementation, testing, debugging, and documentation.
• Contribute to technical direction, design reviews, documentation, and mentoring.

Required qualifications

• Record of independently owning and delivering substantial production systems or platform work.
• Strong system-design and problem-solving skills regarding scale, reliability, security, cost, and maintainability.
• Deep production experience in at least one relevant area such as data pipelines, distributed processing, Kafka, data lakes, warehouses, time-series databases, PostgreSQL, Kubernetes, or cloud infrastr
• Proficiency in at least one general-purpose programming language.
• 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 in unfamiliar technologies or domains.
• Clear written and verbal communication and ability to collaborate asynchronously across teams and time zones.
• Active, responsible use of AI tools in engineering workflow with strong validation.

Nice to have

• Experience with Snowflake, Kafka, Kubernetes, AWS, PostgreSQL, Terraform/Terragrunt, dbt, Dagster, data lakes, 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.

Before you apply

• Our only official careers site is paxos.com/careers
• We only use @paxos.com email addresses
• For technical roles, we do not perform a coding interview without prior screening by our engineering team

About the company

Paxos is rebuilding financial infrastructure to enable the instant movement of any asset. They build blockchain infrastructure that tokenizes, custodies, trades and settles assets for leading financial institutions.