Data Engiering Lead

At Keep, we embarked on a mission with a powerful question: Why hasn't the banking experience caught up with the rapid pace of technology?

This continues to fuel our passion for reshaping the Canadian fintech landscape. We provide businesses with a comprehensive suite of cross-border banking services, offering everything from credit cards to deposit accounts, currency conversions, and revenue financing.

With a team of seasoned global startup veterans with successful exits, Keep is committed to leading the charge as Canada's next-generation fintech institution. Backed by VCs in the fintech sector, we're racing ahead, expanding our reach and impact like never before.

About the Role

We are looking for a Data Lead to build and lead our data team from the ground up. This role greatly impacts how we underwrite our customers, helping us make data-driven decisions and optimizing data infrastructure to support critical business decisions. As data lead, you will lay the foundation for a high-performing team, making an immediate impact while setting the stage for future growth.

We are looking for a Data Lead to build and lead our data team from the ground up. This role is critical in shaping how we leverage data to drive smarter underwriting decisions, optimize business operations, and scale our data infrastructure for long-term success.

As the founding member of our data team, you will have a massive impact on our business, from defining data strategy to implementing best practices for data management, analytics, and engineering. You will drive immediate results and lay the foundation for a high-performing team, ensuring we remain at the forefront of data-driven decision-making.

Key Responsibilities

• Design, implement, and maintain a robust data infrastructure using modern tools like DBT, Snowflake, and ETL frameworks.

• Ensure data accuracy, availability, and security across all systems.

• Define and implement key underwriting performance metrics (e.g., default rates and approval times).

• Run experiments to optimize underwriting processes and measure their impact.

• Work closely with Product, Engineering, and Operations to understand workflows and suggest changes to improve data visibility and usability.

• Communicate complex data insights to stakeholders, facilitating informed decision-making.

• Address data bottlenecks impacting SWE teams.

• Lay the groundwork for a scalable data team, mentoring and guiding new hires as the team grows.

• Foster a culture of collaboration, innovation, and data-driven decision-making.
  

Who We're Looking For

We seek a self-starter who thrives in a fast-paced environment and is excited to make an immediate and lasting impact. You’ll succeed in this role if you have:

• Held a Data Lead, Senior Data Engineer, or Senior Data Scientist role.

• Previous experience in Startups and Fintechs.

• Hands-on experience with setting up and scaling data infrastructure.

• Proficiency in Python, SQL, and modern data tools, including DBT, Snowflake, Fivetran, Hightouch, and other ETL/reverse ETL tools

• Have strong data engineering skills, including data pipeline creation and maintenance.

Why Join Us?

• We're obsessed with investing in data-driven solutions and cutting-edge technologies.

• Be a part of a team that's rewriting the playbook for the Canadian fintech industry.

• Data is fueling our growth engine, and you'll be in the driver's seat, shaping our business strategies.

• Embrace a fully inclusive and remote-friendly company culture that values diversity and work-life balance.

• Help us bring modern banking solutions to businesses, reshaping the banking experience for our customers.

Why This Might Not Be a Good Fit

• If you're a stickler for a highly structured environment with constant hand-holding, you might find our culture of autonomy and trust a bit different.

• If you're more of a slow-and-steady-wins-the-race kind of person, our fast-paced, dynamic environment might be a bit of a rollercoaster.

• Given our industry's nature and rapid growth, ambiguity and uncertainty are all part of the ride. If you prefer clear-cut structures or roles, you might find our dynamic environment a bit too adventurous.

• Collaboration is at the core of Keep, and we thrive on teamwork. If you enjoy working closely with others and engaging with the wider team, you'll feel right at home with our approach.

What’s the Interview Process Like?

1. People Screening: Discuss your experience and cultural fit.

2. Technical Interview: Dive deep into your technical expertise and approach to problem-solving.

3. Leadership Interview: Align vision and team-building goals with senior leadership.

4. Case Study: Present your strategy for a real-world data challenge.

5. Cultural fit Interview: Align vision and team-building goals with senior leadership.

6. References: Validate your leadership and technical abilities.

7. Offer: Start your journey with us! 🎉find our approach to teamwork a tad unconventional.

Head over to our webpage to discover more about us. Take a peek at our Glassdoor profile to see what our Keepers are saying, and stay tuned for exciting updates on our LinkedIn page and learn about our values and benefits on our career page.

Keep provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.