Marketing Data Engineer/Architect

Available Locations: Bengaluru
About the department
The Self-Serve Team is responsible for Cloudflare's PLG business that serves 8M+ customers across 20% of the internet. Our team is responsible for growth marketing, product growth, and growth insights with the goal of building a world class experience for our self-serve customers across all product categories including Application Services, Cloudflare One and Developer Platform, and all Plans such as Free, Pro, Business & Enterprise. We work to grow the business by understanding our customers' needs at every stage of their journey from Awareness to Activation to Expansion and Retention.
You may have heard of the cliche that teams call themselves a "startup within a startup". Except that the self-serve engineering team is fairly young at Cloudflare with established ROI. You will be the founding data engineer for the team.
What You'll Do

• This is a highly autonomous role that enables the self-serve team to personalize user journeys through precise targeting.
• Think of a user that clicked X, visited Y, and purchased Z. We want to predict what they want to do next and then offer that next product in a live product A/B test to improve conversions. If you have worked with tools such as Posthog, Amplitude, Heap, or better yet, have built something similar, we want to hear from you. Our primary use-case is to capture and process thousands of user events in a native architecture and then serve it to internal audiences - both for productional use-cases and for internal reporting.
• You must be comfortable with setting up data lakes, understanding A/B testing architectures, and building the cloud tools that you may have otherwise used in the past. Because Cloudflare is the cloud that we sell to our developers.
• As the founding data engineer, you will have the opportunity to pick an existing data architecture to build upon, build a new one from scratch, or choose a hybrid approach. You tell us what the best system looks like. You will learn about the many data tools and architectures that are being used across the company - traditional databases, modern architectures to manage 20% of the internet traffic, BI summaries, real-user monitoring offered to our customers.
• Bonus points if you have done this to scale a startup.

Examples of desirable skills, knowledge and experience

• BA/BS, MS preferred in Computer Science, must have worked within marketing data tracking and backend architecture for 4+ years.
• 1+ years building realtime data capturing architecture from various user events - marketing websites, Google Analytics, Kibana, Amplitude, UI events, backend events and stitch them together for advanced analytics and personalization systems
• 1+ year of demonstrable experience with marketing attribution system and tag management
• Experience building/expanding analytics systems at lakehouse scale, ideally with OSS systems - Apache Iceberg, Clickhouse, or similar
• Data modeling using different methods (dimensional data modeling, ER modeling, etc)
• Experience implementing quality measurement processes
• Familiarity with batch-style OSS ELT/ETL system (dbt/airflow/etc) and experience managing them
• Familiarity with global data privacy requirements governed by laws like GDPR/CCPA/etc and how it affects data capture, modeling and analysis
• Solid understanding of RESTful APIs and service security
• Working knowledge of SQL and relational databases such as PostgreSQL or MySQL
• Experience implementing secure and highly-available distributed systems/microservices
• Familiarity with event driven architecture
• Experience with API tooling and standards (Swagger/OpenAPI, OAuth/JWT)
• Strong interpersonal and communication skills with a bias towards action