Quantum Rise
What It's Like to Work at Quantum Rise
Quantum Rise Employee Perspectives
What is your role, and what attracted you to Quantum Rise? Describe the moment when you knew you’d found the right fit.
I am the head of data engineering at Quantum Rise. Quantum Rise is taking a fresh approach to consulting with a focus on translating the latest technological developments in the AI/ML space into business value for their clients as well as for their own operations. This indicated that I would be in an environment where I could continuously learn and utilize the latest tools and technologies, allowing me to be nimble in addressing clients’ business and technical challenges.
Furthermore, Quantum Rise prioritizes developing products over merely executing projects. This shift from the traditional consulting mindset of billable hours to creating production-ready solutions that deliver long-term value for clients was a key factor for me, as I chose this career to build solutions, not merely make recommendations.
I was confident that I found the right fit when our CTO Justin Bass provided a demonstration of a product that Quantum Rise had developed for a client. With my prior experience in the client’s industry, I immediately recognized that the solution was right sized for the clients’ needs, neither underselling nor overselling what could be achieved for their use case.
What’s your favorite part about working at Quantum Rise?
There are several aspects of working for Quantum Rise that I value, so it is a bit difficult to select one favorite. I will cheat a bit and list two: First and foremost, I value the fact that I am working with a tight-knit, smart and eager team. I have yet to see anyone on the Quantum Rise team shy away from raising her or his hand to help a colleague or dive into a new challenge.
As a company we are committed to demonstrating the value of new technology (specifically AI/ML). We practice what we preach, so I love the fact that every day I am learning about new and interesting tools as well as AI/ML use cases from my peers. I also truly value contributing to that discourse, so hopefully my peers are learning a bit from me as well!
What advice would you give to jobseekers looking to join your growing team?
The industry is evolving rapidly; my advice is to balance foundational skills with exposure to new tools and technologies. From the perspective of foundational skills, develop expertise with Python and SQL! This is no secret, but both will be relevant for the foreseeable future so prioritize them.
Familiarize yourself with multiple cloud data lake/lakehouse/warehouse platforms. In your career you will likely work with multiple different platforms, so try to gain experience with the major players.
Do not just focus on a solution that works as a proof of concept. If it has value, it will need to be deployed on a larger scale, so thinking ahead and anticipating the needs of a production system will pay dividends!
From the perspective of new tools and technologies, focus on continually expanding your skill set: Stay in tune with the development of the tools that you use, and if those tools are open source, be an active player in that community.
Keep up to date on new tools and technologies. Wherever possible, try them out and develop a level of comfort with them, as well as a point of view on their advantages and disadvantages. Your future colleagues will appreciate your knowledge.
