R&D Team Lead, Data Engineering- JFrog Security

JFrog Ltd; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

JFrog Ltd in the United States is seeking an experienced Data Engineering Team Lead to guide a team of five data engineers. You will own the technical direction of large-scale data pipelines, shaping architecture for streaming and batch ingestion, and ensuring reliability and performance.

You will mentor engineers, participate in hands-on development and technical reviews, and collaborate with DevOps, infrastructure, security and product teams to align data solutions with business needs.

Qualifications

• Proven experience leading a technical data team.
• Strong background in databases and data pipelines.
• Experience with streaming and batch data ingestion.
• Proficient in Python and data tooling.

Responsibilities

• Lead, mentor, and support a team of five engineers with task prioritization and career development.
• Own the technical direction and architecture of large-scale data pipelines for the business’ critical path.
• Design and oversee solutions for complex, changing internet data sources.
• Ensure systems are scalable, resilient, and efficient handling vast data volumes.
• Collaborate with adjacent teams to align data solutions with business needs.
• Drive best practices in code quality, observability, and documentation; promote operational excellence.
• Participate in hands-on development and technical reviews as needed.

Skills

Team leadership

Data pipelines

Python

Databases

Distributed systems

ETL

CDC strategies

Ingestion platforms

Problem solving

Communication

Job description

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts are true pioneers, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit, and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey?

We are looking for an experienced Team Lead to lead a team of 5 Data Engineers responsible for handling large-scale data from diverse internal sources. This role combines technical leadership with hands-on architectural decision-making in a highly complex and data-intensive domain, which is the critical path for JFrog business. The ideal candidate will guide the team through challenges related to shipping data fast, accurate in streams and batches, aggregating and maintaining internal database sources alongside scale, reliability, and performance, while ensuring high engineering standards and effective collaboration.

As a Data Engineering Team Lead–, you will...

• Lead, mentor, and support a team of 5 engineers, including task prioritization, technical guidance, and career development
• Own the technical direction and architecture of systems responsible for a large-scale data pipeline in the business’ critical path.
• Design and oversee solutions that handle complex and constantly changing internet sources
• Ensure systems are scalable, resilient, and efficient when dealing with vast volumes of data
• Collaborate with adjacent teams (e.g., devops-data, infrastructure, security, product) to align technical solutions with business needs
• Drive best practices in code quality, observability, documentation, and operational excellence
• Participate in hands-on development and technical reviews as needed

To be a Team Leader – Data Crawling & Ingestion, you need…

• Proven experience leading or mentoring engineers on a technical team
• Strong background in working with databases (relational and/or NoSQL), including schema design and performance considerations
• Solid understanding of distributed systems and data-intensive applications
• Strong problem-solving skills and ability to operate in a complex, evolving domain
• Experience designing or maintaining data pipelines (batch and/or streaming)
• Familiarity with CDC strategies, ETL mechanisms, and large-scale multi-job orchestrator systems
• Understanding of software package ecosystems and protocols (e.g., package registries, dependency metadata, versioning concepts)
• Experience working with internet-scale data sources or ingestion platforms
• Familiarity and experience with Python