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Data Engineering Lead

Our Journey at Keep

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 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.

These are some things we recognize in our team!

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

  4. CEO Interview: Ensure Strategic Alignment and Strong Leadership Culture

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

  6. References: Validate your leadership and technical abilities.

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

Want to Learn More?

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.

Commitment to Diversity and Inclusion

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.

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What You Should Know About Data Engineering Lead, Keep

Join Keep as our Data Engineering Lead and play a pivotal role in transforming the Canadian fintech landscape! We're on a mission to redefine banking by harnessing data insights for smarter decision-making. In this exciting position, you'll be the founding member of our data team, taking charge of building and leading data strategies that drive business efficiencies and optimized underwriting practices. Your expertise in modern tools like DBT, Snowflake, and ETL frameworks will be crucial in setting up our data infrastructure. You’ll ensure data accuracy, availability, and security, while defining key performance metrics that impact our growth. Collaborate with cross-functional teams to enhance workflows and experiment with innovative solutions that foster data-driven decisions. If you thrive in a fast-paced startup environment, value inclusivity, and are ready to shape the future of fintech, Keep is the perfect place for you!

Frequently Asked Questions (FAQs) for Data Engineering Lead Role at Keep
What are the key responsibilities of the Data Engineering Lead at Keep?

As the Data Engineering Lead at Keep, you will be tasked with designing and maintaining our data infrastructure using advanced tools like DBT and Snowflake. You will ensure the security and accuracy of our data, analyze underwriting metrics, run impactful experiments, and collaborate with teams across Product, Engineering, and Operations to optimize workflows and enhance data visibility.

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What qualifications are needed for the Data Engineering Lead role at Keep?

To excel as a Data Engineering Lead at Keep, candidates should have experience in a similar role, such as a Senior Data Engineer, along with a background in startups and fintech. Proficiency in Python, SQL, and modern data tools is crucial, alongside strong data engineering capabilities, particularly in creating and maintaining data pipelines.

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How does the Data Engineering Lead contribute to Keep's overall business strategy?

The Data Engineering Lead at Keep plays a critical role in driving the company's data strategy which directly influences smart underwriting decisions and business operations. As the head of the data team, you'll foster a culture of innovation and data reliance, ensuring that data-driven insights are at the forefront of our business strategy.

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What makes Keep a unique workplace for a Data Engineering Lead?

Keep stands out as a unique workplace by encouraging a culture of autonomy and trust. As a remote-friendly company, our values emphasize diversity, work-life balance, and collaboration – providing an ideal setting for a Data Engineering Lead to thrive and impact the fintech industry significantly.

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What is the interview process like for the Data Engineering Lead position at Keep?

The interview process for the Data Engineering Lead at Keep involves several steps, including a people screening for cultural fit, a technical interview to assess problem-solving skills, and discussions with senior leadership including the CTO and CEO. Finally, candidates will present a strategy to tackle a real-world data challenge and provide references to validate their experience.

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Common Interview Questions for Data Engineering Lead
What inspired you to pursue the role of Data Engineering Lead at Keep?

When answering this question, highlight your passion for fintech and the intersection of data and technology. Discuss your belief in Keep's mission to innovate banking and how your skills align to contribute towards shaping its data-driven future.

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Can you explain your experience with data infrastructure setup?

Key here is to detail your hands-on experience with specific tools like DBT and Snowflake. Explain the projects you've worked on, the challenges faced, and how you've successfully developed and scaled data infrastructures in previous roles.

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How do you ensure data accuracy and security?

Discuss the strategies you implement, such as data validation processes, automated testing, and monitoring. Mention your understanding of compliance requirements and how you integrate security measures into the data lifecycle.

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What metrics do you consider most important for underwriting processes?

Share your insights on key underwriting performance metrics, like default rates and approval times. Explain how you would analyze these metrics to inform data-driven underwriting decisions that align with Keep's business objectives.

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Describe a challenging data problem you solved in your previous role.

Recount a specific instance where you analyzed a complex data issue and how your problem-solving skills led to a successful outcome. Discuss the techniques you used and the impact of your solution on the overall project.

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How do you foster collaboration within a data team?

Emphasize the importance of open communication, team meetings, and shared goals. Discuss techniques you would use to mentor team members and create an inclusive environment where everyone's ideas are valued.

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Can you outline your approach to running experiments in data processes?

Detail the steps you take to formulate hypotheses, design experiments, analyze results, and implement changes based on findings. Provide examples of past experiments that led to significant improvements in data processes.

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What tools do you prefer for ETL processes and why?

Share your experience with various ETL tools you've used, such as Fivetran and Hightouch. Discuss why you prefer certain tools based on functionality, ease of use, flexibility, and team collaboration.

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How do you prioritize tasks in a fast-paced environment?

Explain your methodologies for task prioritization, such as maintaining a clear roadmap, using project management tools, and aligning with business goals to ensure that critical tasks are prioritized without losing sight of long-term objectives.

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What are your thoughts on data-driven decision-making?

Express your belief in the importance of data as the backbone of decision-making. Share examples of how you've utilized data to influence strategic directions or business outcomes, showcasing your commitment to a data-centric culture.

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Keep's mission is to unlock the potential of mobile commerce. It achieves this by providing the only web-wide universal shopping cart and a unique commerce philosophy that puts consumers first at every turn. Keep is headquartered on Park Avenue ...

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Full-time, remote
DATE POSTED
February 17, 2025

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