SOLUTIONS ARCHITECT

Fintech & Finance | EUROPE - Remote

DESCRIPTION

Our client is a venture-backed fintech with a mission to give employees instant access to their earned wages, which solves a major problem for real people while killing predatory financial products like payday loans. They are the fastest-growing startup in the category and were incubated by QED Capital, a top fintech venture fund.


Their Instant Pay app provides earned wage access for employees at mid- to large-sized organisations to improve their financial wellness and to increase employee engagement and productivity.


With many workers living paycheck to paycheck, financial wellness tools are an important part of any employee benefits package. Our client gives employees access to the money that they have already earned whenever they need or want it, without needing to wait for the month-end paycheck.; The service is mobile app-based, very easy and intuitive to use. There’s a small transaction fee and no interest to pay, a much healthier solution than payday loans or bank overdrafts with their exorbitant charges.


Our client’s ultimate mission is to help people attain financial freedom, which starts with giving people full control over their income. 



ABOUT THE ROLE:       

We are looking for a Solutions Architect to build mind share, establish customer trust and nurture transformative technological and business outcomes in Europe through the adoption of the client’s platform.


As a solutions architect, you will provide technical leadership and will be responsible for building, improving, and influencing the design of our core integrations with our partners. This involves updating products, features, and services across the entire stack to ensure seamless experiences for customers, consumers, and partners. 


The ideal candidate will embrace the team’s global culture, which is rooted in Shokunin - the Japanese philosophy of giving your very best for the general welfare of people. The company’s other core values are radical transparency and zero ego.


  

SPECIFIC RESPONSIBILITIES

Provide technical leadership in a pre-sales and post-sales capacity for customers to support successful understanding, evaluation, and adoption of our client’s technologies, guide customers and prospects in the architecture and implementation of their use cases on their platform.

Consult on architecture and design, bootstrap, and/or implement strategic customer projects. Build references architectures, how-tos, and demo applications for customers to engage with key stakeholders confidently and succinctly to identify and solve their business challenges.

Own presales blueprinting, scoping, technical requirements gathering, development, and transition to support/account management serve as a trusted advisor to prospects by using your understanding of what drives marketing teams in the pursuit of data-driven marketing, lead technical deep-dive demos of the product where needed.

Collaborate cross-functionally to respond to RFIs and RFPs issued by customers



WORK EXPERIENCE AND REQUIREMENTS:

Excellent presentation and white-boarding skills

Ability to design and architect distributed data systems

A strong background in data & technology, deep knowledge and experience in SQL, ETL, and data warehouse design/implementation

Being a pre-sales superstar, deeply technical with great customer skills, and know-how to successfully work as a trusted advisor to ensure the success of prospects and customers

Have experience in ETL or Data Warehouse design/implementation good understanding of web development, Javascript, and software architecture

Have strong customer communication and presentation skills as well as the ability to dive into technical topics

Ability to effectively communicate remotely, and travel to customer sites for demos and meetings when necessary.

Have experience selling Cloud-based or SaaS solutions

Have good knowledge of and working experience in large data sets

Have wide industry experience across media, entertainment, retail, CPG, auto, gaming, and financial services

Have a good knowledge of data science concepts

Have an understanding or experience in AI/ML in Python or SQL and CRM