Senior Data Engineer - Cloudflare

About the Role

The Data Intelligence & Analytics organization at Cloudflare builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling.

We are looking for an experienced Data Engineer to join our Bengaluru team to help scale the development of our internal data products. You will be involved end-to-end — from shaping requirements and designing features to implementation and long-term ownership. You will work on building scalable, reliable systems and partner closely with full-stack engineers to develop new features and operate the data pipelines behind our applications.

Responsibilities

• System Design: Design and implement core components of data pipelines and services in Go and Scala, focusing on scalability, performance, and maintainability.
• Collaboration: Partner with engineers, analysts, and product stakeholders to design solutions for strategic initiatives and agentic AI architectures.
• Architecture: Contribute to the evolution of our data platform, improving scalability, reliability, observability, and data correctness.
• Data Modeling: Build and curate high-quality, well-modeled datasets that power internal products, predictive analytics, and LLM-enabled features.
• Ecosystem Ownership: Develop a deep understanding of the company’s data ecosystem and collaborate with global teams in Austin, Lisbon, and London.
• Leadership: Lead through design reviews, knowledge sharing, and mentorship to raise technical and AI implementation standards.

Desirable Skills & Experience

• B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or equivalent practical experience.
• 5+ years of professional experience in data or software engineering building production data systems.
• Strong programming expertise in Go, Python, or JVM-based languages.
• Deep knowledge of SQL and hands-on experience with relational, analytical, or vector databases (e.g., PostgreSQL, ClickHouse).
• Experience building scalable, reliable, and observable data pipelines.
• Proven ability to drive projects in ambiguous environments.

Bonus Points

• Familiarity with container-based deployments (Docker & Kubernetes).
• Experience with Google Cloud Platform or foundational LLM orchestration frameworks.