About Figure
Figure is revolutionizing financial services with its disruptive technology platform. Our flagship product is the #1 non-bank HELOC in America. We’re delivering new consumer lending products and a capital markets ecosystem that maximize efficiency and transparency – by capitalizing on our loan origination activities, extensive network of partners, and growing pool of assets.
Join a team of 450+ people at Figure who have originated $11+ billion in loan volume. We’re very profitable and growing fast!
Figure has raised $469 million from top investors like Ribbit Capital, DST, Apollo, and Morgan Creek.
FastCo Most Innovative Companies
Forbes Top 50 Blockchain Companies
About the Role
We are looking for a Principal Software Engineer to join the Data Engineering team and play a pivotal role in the development and optimization of Figure’s data architecture. As a Principal Engineer, you will be responsible for driving the design and implementation of scalable data solutions that directly support Figure’s broader organizational goals. You will lead strategic initiatives with a focus on creating data platforms and systems that power our business applications, decision-making, and reporting infrastructure.
In this role, you will influence the technical direction of our data engineering efforts, collaborating across teams to build systems that impact the entire company. This position is ideal for a seasoned technical leader with a deep understanding of data engineering who thrives in fast-paced, high-impact environments.
What You’ll Do
- Lead the architectural design and evolution of Figure's data infrastructure, ensuring scalability, reliability, and performance across the organization.
- Collaborate with cross-functional teams, including Engineering, Data Science, Product, and Leadership, to develop and maintain robust, scalable data pipelines.
- Shape the vision for data management, governance, and security best practices across the company, ensuring compliance with industry standards.
- Lead the development and deployment of large-scale data processing frameworks, leveraging modern tools like Apache Beam, Kafka, and BigQuery.
- Mentor and guide senior engineers, contributing to their technical growth while fostering a culture of excellence.
- Influence company-wide technical strategies, advocating for the adoption of new technologies and frameworks that align with Figure’s goals.
- Ensure that Figure’s data infrastructure supports both current and future analytics, reporting, and product development needs.
- Own the overall technical strategy for the Data Engineering team, balancing short-term tactical efforts with long-term strategic goals.
What We Look For
- 12+ years of experience in data engineering or related fields, with a proven track record of architecting large-scale, cloud-based data solutions.
- Strong leadership skills, including experience mentoring senior engineers and leading technical teams in high-growth environments.
- Expertise in distributed data processing systems (e.g., Apache Beam, Apache Spark), data pipelines (e.g., Kafka), and cloud platforms (preferably Google Cloud).
- Deep understanding of ETL processes, data warehousing concepts, and advanced data transformation techniques.
- Proficiency in programming languages such as Python, Java, or Scala, with a focus on data engineering use cases.
- Hands-on experience with infrastructure-as-code tools (e.g., Terraform, Kubernetes) and modern CI/CD pipelines.
- Experience working with monitoring and logging frameworks (e.g., Datadog, Kibana) to ensure data platform stability and performance.
- Ability to synthesize technical designs, influence build vs. buy decisions, and shape the company’s data architecture strategy.
- Strong communication skills, with the ability to collaborate across teams and align technical initiatives with business objectives.
- A proactive, innovative mindset with a passion for solving complex technical problems in a dynamic, fast-paced environment.
Our Tech Stack
As a Principal Engineer, you’ll have deep familiarity with our core tech stack and be capable of driving innovation across it:
Application Team Tech Stack
While proficiency in our tech stack is a plus, we encourage those comfortable with similar technologies to apply. The application teams work with the following technologies:
- Frontend: React, React Query, TypeScript/JavaScript, Tailwind, Vite
- Backend: Kotlin, SpringBoot, PostgreSQL, Kafka, Google Cloud Platform, Kubernetes
Data Engineering Tech Stack
As a Senior Software Engineer on the Data Engineering team, you’ll be working with a robust and modern tech stack that includes:
- Data Platform: Google Cloud - BigQuery, Kafka (Confluent Cloud)
- Data Processing: Apache Beam (Java), Apache Spark (Python), Airflow
- Infrastructure & Deployment: Kubernetes, Terraform, Helm
- Monitoring & Management: Datadog, Kibana
- Integration & Configuration: Python, Kotlin, React
Additional Principal Engineer Requirements
- Proven ability to influence strategic decisions that impact company-wide data initiatives.
- Expertise in architecting systems with company-wide and industry-wide implications.
- A track record of leading large-scale, cross-functional projects and delivering high-quality results with minimal oversight.
- Strong external network and ability to represent Figure in technical forums and industry discussions.
- Experience driving and implementing data governance frameworks and security best practices.
- Ability to synthesize company strategy into actionable engineering roadmaps and solutions.
Salary
- Compensation Range: $176,000 - $220,000
- Quarterly 25% bonus target
- Equity stock options package
- This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs
Benefits
- Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans
- Company HSA, FSA, Dependent Care, 401k, and commuter benefits
- Employer-funded life and disability insurance coverage
- 11 Observed Holidays & PTO plan
- Up to 12 weeks paid family leave
- Continuing education reimbursement
Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.
Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
