Data Engineer/Architect

As a Data Engineer/Architect at Cloudflare, your primary responsibilities will include building architectures for real-time data capturing, processing user events, and influencing personalization systems to enhance user journeys. You’ll collaborate closely with the self-serve team to devise strategic A/B tests that directly improve conversion rates while analyzing user behaviors at scale.

Candidates for the Data Engineer/Architect role at Cloudflare should have a BA/BS in Computer Science or equivalent experience. Familiarity with data lakes, A/B testing architectures, and experience in building or expanding analytics systems at scale is essential. Additionally, proficiency in SQL, knowledge of RESTful APIs, and experience with distributed systems or microservices will be beneficial.

In the Data Engineer/Architect role at Cloudflare, you’ll work with a variety of modern technologies such as Apache Iceberg and Clickhouse for data lakehouse architectures, along with analytics tools to monitor performance. You will also be involved in implementing secure microservices and working with RESTful APIs, ensuring data privacy in line with regulations like GDPR.

Cloudflare is committed to supporting the personal and professional growth of its employees, including Data Engineers/Architects. Team members are encouraged to engage in continuous learning, train in new technologies, and participate in knowledge-sharing sessions within the company to enhance their skills and advance their careers.

Working in the self-serve team at Cloudflare is dynamic and fast-paced, where you’ll experience a startup-like atmosphere within a larger organization. As the founding Data Engineer/Architect, you’ll have autonomy to innovate and directly influence the growth trajectory of the team while being supported by diverse and inclusive colleagues who are just as passionate about building a better Internet.

In answering this question, discuss specific projects where you’ve implemented real-time data capturing systems. Mention the technologies used, like Apache Kafka or similar, and highlight any challenges faced during implementation. Showcase the impact of your work on analytics and decision-making within the organization.

Here, provide examples of your experience with different data modeling techniques such as dimensional or ER modeling. Discuss how you’ve utilized these techniques to structure data for analytics effectively in past projects, emphasizing the benefits gained from your approach.

When addressing this question, outline your approach to setting up A/B testing, detailing the tools you’ve used and the steps taken to ensure valid testing conditions. Include insights on how this directly influenced user engagement or conversion rates in your previous roles.

Mention specific data quality measurement processes you’ve implemented, such as validation checks, error tracking systems, or data cleansing techniques. Explain how these strategies enhanced the reliability of your analytics outputs.

Discuss your knowledge of machine learning models and how data architecture supports or integrates with these models. Highlight your experiences in using data engineering to optimize ML performance and any relevant projects that illustrate your approach.

Provide examples of your SQL skills and specific relational databases you’ve worked with, such as PostgreSQL or MySQL. Include projects where you utilized SQL for effective data manipulation, reporting, or analytics, and any lessons learned during those experiences.

Share a relevant experience where you designed or maintained a distributed system. Focus on the particular challenges faced, such as performance issues, scalability, or security concerns, and how you overcame those challenges.

Discuss your understanding of how laws such as GDPR or CCPA affect data capture and modeling, particularly in a cloud environment. Provide examples of how you've ensured compliance in previous roles, incorporating best practices into your data architecture.

Emphasize your interpersonal skills and describe instances where you successfully collaborated with cross-functional teams. Illustrate how these collaborations contributed to project success and your personal development.

In your response, talk about Cloudflare’s mission to build a better Internet and how your skills align with its goals. Mention your excitement about working within an innovative team and the potential to create impactful solutions that enhance user experiences.