Possible Finance is a mission-driven fintech that offers financial services to millions of consumers in the US who are underserved by the mainstream financial system. Through Possible Loan, the only small dollar loan in the market that helps build credit history, we’ve put over $500M into the hands of more than 600K customers using our machine learning-based credit decisioning engine that doesn’t rely on credit score. Using this same proprietary credit risk technology, we’re also launching the Possible Card, the only unsecured credit card with zero interest or late fees—ever—as the next chapter in our journey to provide affordable access to capital to underserved consumers.

As the first Data Architect at Possible, you will be responsible for designing, enhancing, building, and maintaining our data management systems. You will build and enhance the data management system to support the next phase of growth at Possible. We are looking for a self-starter, who can lead, and who is passionate about data to solve business problems. This role reports directly to the Head of Data Science and Machine Learning.

As the Principal Data Architect at Possible, you will be responsible for designing, building, enhancing, and maintaining our data management systems. Key responsibilities including; talk to stakeholders and gather requirements, review and analyze existing data systems at Possible including automated data pipelines and data lake in the cloud from a data security and integration perspective, build and enhance the data management system to support the next phase of growth at Possible. We are looking for a self-starter with the ability to lead and who is passionate about data to solve business problems.

This role requires a high level of collaboration and engineering caliber as you work cross-functionally to answer key strategic questions and drive architecture decisions that will help Possible achieve the growth ahead. This role reports directly to the Head of Data Science and ML.

Responsibilities

• Owning the design, and development of end-to-end data pipelines and workflows
• Talking to stakeholders and understanding current pain points while gathering requirements for enhancing the data infrastructure
• Engineering solutions to aggregate and automate large-scale data flows from varying sources
• Collaborate with Engineers and Scientists in the organization to construct complex data sources for algorithms and machine learning models
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Build real-time streaming from internal and external sources to provide insights into the business
• Build, analyze and present actionable data to Marketing/Credit Risk/Finance/Product teams
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
• Design our data models for optimal storage and retrieval and to meet critical product and business requirements
• Understand and influence logging to support our data flow, architecting logging best practices where needed
• Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
• Improve data quality by using & improving internal tools to automatically detect issues

Qualifications & Skills

• 7+ years of experience as a Data Architect or Senior Data Engineer or a similar role
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Experience with data modeling, data warehousing, and building ETL pipelines
• Knowledge of batch and streaming data architectures
• Experience with AWS technologies including Redshift, RDS, S3, EML, Glue, Athena or similar solutions built around Hive/Spark etc.
• Experience communicating with senior management as well as with colleagues from engineering, analytics, and business backgrounds
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Knowledge of data management fundamentals and data storage principles
• Knowledge of distributed systems as it pertains to data storage and computing
• Proficiency in Python, SQL, or other similar languages.

Possible Finance is on a mission to help communities break the debt cycle and unlock economic mobility for generations to come. With the backing of our venture investors (Union Square Ventures, Canvas Ventures, Euclidean Capital, Unlock Venture Partners), a loyal following of hundreds of thousands of customers, and a fantastic team, we’re unwavering in our fight for financial fairness. As one of only a few fintech Public Benefit Corporations, we’ve baked our dual commitment to building a profitable and socially impactful company right into our charter; we only succeed when our customers do too. If you’d like to help us ship financial products that protect consumers from predatory lending practices and promote financial health, give us a shout.

Our fully distributed, multi-cultural team is located across the US, Asia, Latin America, and Africa with core work hours between 9 a.m. and 3 p.m. Pacific Time.

You will be employed through Emerhub, our employer of record (EOR). We partner with Emerhub to give each team member an exceptional experience. This also includes additional benefits through Maxicare for you and two of your dependents. We will provide the equipment for your work-from-home setup. All of our Philippine team members also receive stock, a % of ownership in the company.

Possible Finance is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.