Sr Staff Engineer - Data Platform

Banking is being reimagined-and customers expect every interaction to be easy, personal, and instant .

We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals . Powered by our proprietary BankGPT platform , this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack , unlocking a $200B opportunity and potentially replacing multiple publicly traded companies .

Ultimately, our mission is to drive financial well-being for millions of consumers.

With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.

About the Role

We're hiring a Staff Engineer - Data Platform to architect, scale, and evolve the data backbone that powers all of Interface.ai's intelligent systems.

You'll design and lead the development of a modern streaming and storage platform that unifies real-time event ingestion, distributed persistence, and secure multi-tenant access control.

This is a hands-on and architecture role where you'll build foundational systems for analytics, ML training, and personalization pipelines. You'll define how data moves, transforms, and becomes insight - for both internal teams (data science, AI, product analytics) and external customers seeking actionable intelligence and compliance visibility.

You will partner closely with the ML, AI, and Product Engineering teams to ensure the platform serves as a robust, high-throughput, and policy-compliant foundation for our next generation of AI-driven financial experiences.

What You'll Own

As the Staff Engineer for Data Platform , you will own the architecture and evolution of the company's end-to-end data ecosystem - from ingestion to analytics to model training enablement.

Your scope includes :

• Data Lake & Storage Systems : Designing scalable, distributed, and cost-efficient storage architectures for multi-tenant environments.
• Streaming Infrastructure : Building and optimizing high-throughput real-time data pipelines for telemetry, transactions, and conversational data.
• Data Modeling & Governance : Creating schemas, metadata systems, and access frameworks to ensure data quality, discoverability, and compliance.
• Analytics Enablement : Powering self-service analytics, KPI dashboards, and behavioral insights for internal stakeholders and customers.
• ML Enablement : Providing clean, secure, and well-modeled data for training custom ML models that drive personalization, upsell, and cross-sell.

What You'll Do

Data Governance & Compliance : Define and implement role-based access control, encryption at rest and in transit, and audit logging for regulatory alignment (SOC2, GDPR).

What We're Looking For

Required Qualifications

Preferred Experience

What Makes This Role Special

You'll lead with autonomy : balancing deep technical design, performance optimization, and business impact.

Compensation

What We Offer

At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.