Infrastructure Engineer

Job Title

Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, , H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning.

We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank. In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems.

Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you.

• Design, build, and operate scalable data infrastructure that supports high-volume ingestion, transformation, storage, and access patterns across the company.
• Drive the architecture and implementation of a partner data sharing platform, enabling secure, reliable, and governed data exchange with external partners.
• Build core components of Imprint's identity graph, helping unify customer, account, transaction, partner, and behavioral signals to support long-term product and business strategy.
• Develop systems that improve data quality, lineage, observability, reliability, and governance across critical data pipelines and datasets.
• Partner with Data, Risk, Product, Engineering, Security, and Compliance teams to define data platform capabilities that are secure, auditable, and easy to use.
• Build abstractions, tooling, and frameworks that allow engineers and analysts to safely create, discover, consume, and share data at scale.
• Design infrastructure for both batch and real-time data use cases, balancing latency, correctness, cost, and operational complexity.
• Solve challenging problems around entity resolution, data freshness, schema evolution, access control, privacy boundaries, and partner-specific data contracts.
• Improve the reliability and scalability of data systems through automation, monitoring, alerting, incident response, and capacity planning.
• Advocate for strong engineering practices in data infrastructure, including reproducible pipelines, clear ownership, robust testing, and operational excellence.

• 5+ years of hands-on engineering experience building data platforms, distributed systems, infrastructure, or backend systems at scale.
• Strong experience designing and operating production data pipelines using modern data processing frameworks and orchestration tools.
• Deep understanding of data modeling, data quality, schema management, lineage, observability, and governance best practices.
• Experience working with cloud-based data infrastructure, including object storage, warehouses, lakehouse architectures, streaming systems, and compute platforms.
• Proven ability to design systems that handle complex data access, privacy, security, and compliance requirements.
• Strong backend engineering fundamentals, with proficiency in one or more programming languages such as Python, Java, Scala, Go, or Kotlin.
• Experience building platforms or services that support multiple internal customers, with thoughtful APIs, abstractions, documentation, and operational support.
• Strong systems thinking, with the ability to reason about trade-offs across latency, consistency, reliability, scalability, cost, and developer experience.
• Excellent analytical and problem-solving abilities, especially when working with ambiguous requirements and cross-functional stakeholders.
• Strong communication skills, with the ability to clearly explain technical decisions, data platform trade-offs, and system behavior to both technical and non-technical audiences.
• High ownership mindset with a strong sense of urgency, accountability, and craftsmanship.
• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent practical experience.

• Partner data sharing at scale:
  Build a platform that allows Imprint to exchange high-value data with partners while maintaining strict guarantees around security, privacy, correctness, freshness, and auditability.
• Identity graph foundations:
  Design systems that connect fragmented data across users, accounts, cards, merchants, partners, and events to create a trusted foundation for future product intelligence.
• Data trust and quality:
  Create infrastructure that makes data reliable by default, with clear ownership,…