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Data Platform Engineer

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

We’re looking for a talented multi disciplinary Data Platform Engineer with passion for infrastructure, who will be responsible for the performance, scale, and stability of our core streaming platform. We are a data-driven organization, ingesting data at high rates, with demands increasing each day.

As a Data Platform Engineer, you will be part of the Data Platform group and will be responsible for a large scale production streaming platform that serves as the core infrastructure of our products. You'll develop self-service tools that support the accessibility of our platform for the use of other dev departments. We will look to you to be a center of knowledge, consult, and share your expertise with others.

*** A third party will recruit, hire, and employ this position.

What You'll Be Doing

  • Implement the future data streaming platform in Riskified, providing real-time and near real-time scalable and resilient platform for our growing stack of products and microservices
  • Administrate, provision and monitor our streaming platform
  • Develop, maintain and enhance the Streaming related Application infrastructure.
  • Guide development teams and mentor other team members
  • Use your creativity to resolve complex and high scale data related issues
  • Research new technologies, starting from POC level to production grade systems.

Qualifications

Minimum Requirement

  • At least 3 years prior experience as a Data Engineer / Big Data Infrastructure engineer
  • Hands-on experience with Data Streaming technologies: Apache Kafka / Apache Pulsar / Spark Streaming / Kstream / Apache Flink 
  • B.Sc. in Computer Science (or equivalent)
  • Experience working on high scale, production-grade projects

Advantage

  • Experience with the Cloud Native stack( Kubernetes / Prometheus/Istio etc.)
  • Experience with a cloud provider (AWS, Google etc.)
  • Experience with Infrastructure tools (Helm, Ansible, Terraform etc.) 
  • Experience with Scala

Life at Riskified

We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.

We’re looking for bright, driven, and passionate people to grow with us.

Some of our Lisbon Benefits & Perks:

  • Hybrid mode of work
  • Flexible schedule
  • Recharge weekends
  • Healthcare & dental benefits
  • Fully-stocked kitchens
  • Commuter benefits
  • Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
  • Wellness program
  • Celebrations and activities
  • Team events
  • Happy hours
  • Awesome Riskified gifts and swags
  • Volunteer programs
  • Personal development
  • Global onboarding
  • Role-based technical skills training
  • Full access to Udemy

In the News

Geektime: Riskified Goes Public

Walla!: Happy Hour at the Riskified Offices

Geektime Insider: A look at Riskified Tel Aviv

Globes: Riskified to contribute the highest amount up to date to Tmura

Globes: Riskified is among Israel’s fastest growing companies 

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

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CEO of Riskified
Riskified CEO photo
Eido Gal
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Average salary estimate

$95000 / YEARLY (est.)
min
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$70000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Platform Engineer , Riskified

Join Riskified as a Data Platform Engineer in Lisbon and become a vital part of our mission to revolutionize ecommerce growth by tackling risk head-on. In this role, you'll dive deep into our high-performance streaming platform that is the backbone of our innovative products. Collaborating with a talented team, you’ll play a key role in implementing a resilient and scalable data streaming platform that supports real-time decision-making and enhances our microservices. Not only will you administrate, provision, and monitor infrastructure, but you'll also develop self-service tools that empower other developers within the organization. Your expertise will serve as a guiding force, sharing insights and mentoring team members along the way. If you have a passion for tackling complex data challenges and possess hands-on experience with data streaming technologies like Apache Kafka or Spark Streaming, we would love to have you on board. Your creativity and technical skills will make a significant impact on our growing stack of products, and you’ll be rewarded with an array of benefits that foster your well-being and professional growth. At Riskified, we’re not just about work; we strive for a collaborative atmosphere where innovative thinking thrives, and everyone is encouraged to contribute meaningfully to our mission.

Frequently Asked Questions (FAQs) for Data Platform Engineer Role at Riskified
What are the main responsibilities of a Data Platform Engineer at Riskified?

As a Data Platform Engineer at Riskified, your primary responsibilities will include implementing and managing our data streaming platform, ensuring its performance, scale, and stability. You'll administrate and monitor the platform while also developing self-service tools for other development departments. Guiding and mentoring other team members will also be part of your role as you resolve complex data-related issues and research new technologies.

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What qualifications are required for the Data Platform Engineer position at Riskified?

To qualify for the Data Platform Engineer position at Riskified, candidates should have a minimum of 3 years of experience in Data Engineering or Big Data infrastructure. A hands-on background with data streaming technologies such as Apache Kafka, Apache Pulsar, or Spark Streaming is essential. A degree in Computer Science or a related field is also required, along with experience in high-scale, production-grade projects.

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What technologies should a Data Platform Engineer be familiar with at Riskified?

A Data Platform Engineer at Riskified should be familiar with data streaming technologies, including Apache Kafka and Apache Flink. Additional expertise with cloud technologies such as Kubernetes and services from cloud providers like AWS or Google Cloud will be advantageous. Familiarity with infrastructure tools like Helm, Ansible, and Terraform, as well as programming in Scala, is also beneficial.

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How does Riskified support professional growth for Data Platform Engineers?

At Riskified, we are deeply committed to the professional growth of our employees. Data Platform Engineers have access to role-based technical skills training, global onboarding, and full access to platforms like Udemy. We believe that investing in the development of our employees not only enhances their skills but also drives the success of our organization.

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What is the work culture like for a Data Platform Engineer at Riskified?

The work culture at Riskified is dynamic and collaborative, encouraging innovative thinking and teamwork. We value bright and driven individuals who are passionate about their work. Employees enjoy a hybrid work mode with flexible schedules, and we regularly host team events, happy hours, and wellness programs to foster community and collaboration.

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Common Interview Questions for Data Platform Engineer
Can you describe your experience with data streaming technologies?

In your answer, highlight specific data streaming technologies you have worked with, like Apache Kafka or Spark Streaming. Discuss your role in projects, the challenges faced, and how you resolved them to showcase your technical capabilities.

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How do you ensure the reliability and performance of a data streaming platform?

Provide examples of monitoring and provisioning techniques you've used to maintain platform reliability. Discuss tools you have employed, such as Prometheus for monitoring, and proactive strategies to identify and mitigate potential issues.

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What challenges have you faced while working on high-scale production-grade projects?

Share a specific example of a challenge you encountered in a high-scale project and how you addressed it. Discuss resilience, scalability concerns, and solutions implemented to ensure smooth operations despite the challenges.

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How do you approach mentoring other team members as a Data Platform Engineer?

Discuss your philosophy on mentorship and provide examples of how you have guided junior engineers. Explain techniques you used to facilitate knowledge sharing, practical learning experiences, and fostering a collaborative environment.

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What strategies do you employ for researching and evaluating new technologies?

Explain your approach to technology evaluation. Discuss how you perform proof-of-concept assessments and implement new technologies into production-grade systems, emphasizing systematic research and testing.

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What role does collaboration play in your work as a Data Platform Engineer?

Illustrate the importance of collaboration in your projects. Provide examples of working with cross-functional teams, sharing knowledge, and how this collaborative approach has led to improved outcomes.

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Can you give an example of a time you had to design a self-service tool for your team?

Describe a specific tool you designed, its purpose, and how it improved accessibility for other teams. Discuss any feedback received and how it impacted the overall productivity and efficiency within the organization.

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What features do you consider critical for a successful data streaming platform?

Discuss features such as real-time processing capabilities, scalability, and resilience. Explain why these features are crucial in your experience, and how you have ensured they are prioritized in your work.

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How do you stay updated with industry trends and advancements in data technology?

Share your methods for staying informed, such as attending webinars, participating in tech forums, or pursuing further education. Discuss how this ongoing learning benefits your role and contributions to the team.

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Describe a significant accomplishment in your career as a Data Engineer.

Select a specific achievement that highlights your skills and contributions to a project or organization. Describe the impact of your work and how it played a role in achieving the company’s objectives.

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Ecommerce has transformative powers, and we believe everyone should be able to take part. But outdated solutions and overwhelmed systems create uncertainty and risk. We empower businesses to realize the full potential of eCommerce by making it sa...

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Full-time, hybrid
DATE POSTED
December 18, 2024

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