Riskified Published: November 13, 2020
Job Type
Category
Level of education
Undergraduate
Spoken Language needed
Hebrew
Level of Hebrew
Fluent
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years

Description

Riskified is the AI platform powering the eCommerce revolution. We use cutting-edge technology, machine-learning algorithms, and behavioral analytics to identify legitimate customers and keep them moving toward checkout. Merchants use Riskified to increase revenue, prevent fraud, and eliminate customer friction. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including Wish, Prada, Aldo, Finish Line, and many more. We're privately funded and VC backed, and our recent Series E round raised $165 million with a valuation in excess of $1 billion. Check out the Riskified Technology Blog for a deeper dive into our R&D work.

Our R&D Team

We are passionate about scale, performance engineering, high availability, robust distributed architecture, and clean code.

As part of our team, you'll have the chance to experience real highly-available architecture and take part in the ongoing efforts to enhance our scale and resilience. You’ll work with the most advanced technologies and contribute to the creation and maintenance of one of the most interesting and complex products on the market, including:

- Our analysis flow, involving a variety of data sources and complex analytical logic, with its high availability and strict SLA requirements
- Our business applications, meant to serve our customers’ payments teams and their varied use cases
- Our operational tools, written to maintain an operation of considerable onboarding size and monitor our merchants’ analytical performance
- Our culture is fast-paced, empowering, and collaborative. We work together as a department, and also, in smaller teams, enabling each developer to have a significant impact on our product. Each team member has a high-level of independence and makes important decisions that influence our customers' payment flow and risk management.

About the Role

Riskified, a data-driven organization from day one, heavily relies on it’s big data platform.

Our Data Engineering Group plays a crucial role in scaling and expanding our operations. On one hand building complex mass data processing for our machine learning flows, and research requirements. On the other hand, providing a large scale production-grade data infrastructure for our real-time services.

We’re looking for a talented multi-disciplinary Big Data Architect to help us build scalable and robust data architecture,

In this role, you’ll be a source of technical knowledge and experience, facilitating, building (hands-on), and mentoring great technical decisions.

You’ll be involved in multi-faceted projects at once, where you’ll be required to solve complex problems that require a varied and multi-disciplinary skillset.

You’ll need to understand the full picture, and design system architecture end-to-end, with high attention to user and business requirements.

You’ll conduct POC’s, to help choose the right technologies for the job.
You’d design and model our various data stores including the data lake, and real time databases.

Our Technological Stack includes: Scala/Spark, Dynamodb, Elasticsearch, Airflow, Snowflake, AWS, Kafka, Kubernetes, and more

What You'll Be Doing

- Architect and build a highly scalable data platform for diversified and complex data flows
- Guide our development teams by setting technical directions and providing standards, architectural governance, design patterns, and practices
- Influence product roadmap strategy and coordinate it with the architecture vision
- Track and identify relevant new technologies in the market and push their incorporation into the product through research and proof of concept activities (hands-on)

Requirements

- 10+ years experience in data and/or software architectural design, and engineering in a production-grade large-scale platform
- Experience with data lake storage (cloud/Hadoop based) and data formats (Parquet/ORC etc)
- Experience with data serving layers (Presto/Hive etc)
- Experience with Spark development
- Experience with streaming platforms like Spark/Flink/KStreams etc
- Experience with Kafka
- Experience working with distributed NoSQL databases (Elasticsearch/Cassandra/DynamoDB/Redis etc)
- Experience with high-scale, high-volume relational databases, and SQL language
- Significant knowledge in big data language - familiarity with a variety of big data technologies in the big data world
- Experience in AWS cloud (or similar)
- DevOps skills such as Docker, Kubernetes, Cloudformation, etc. - advantage
- BSc Computer Science/Data Management or equivalent
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