Data Architect

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including 75% 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 in our journey?

As a Data Architect within JFrog's Data & AI Department, you will play a pivotal role in designing, implementing, and optimizing data & AI solutions that empower innovation and enable intelligent decision-making across our organization. You will lead the design of JFrog's future-proof data platform, ensuring it is scalable, open, extensible, high-performing, private & secure. You will also play a pivotal role in designing, implementing, and optimizing AI solutions related with data domain that drive innovation and enable intelligent decision-making. You will also partner with engineering & business stakeholders to understand their data needs and deliver technological solutions that drive business value, leveraging cutting-edge AI technologies and robust data strategies. This is an opportunity to shape the future of data and AI at JFrog and make a lasting impact.

As a Data Architect in JFrog you will...

• Define and drive the vision for JFrog’s modern data platform, setting its technical direction to enable Data & AI-driven innovation and growth while inspiring cross-functional teams.
• Partner with Product R&D, Data & AI engineering, IT, Security, Legal, and other teams to ensure the platform and solutions meet scalability, performance, privacy, and security requirements.
• Actively participate in the design and implementation of technical solutions, provide hands-on expertise to develop and conduct architecture proof-of-concepts to validate design decisions and collaborate with engineering teams in implementation efforts to ensure alignment with architectural vision.
• Evaluate and recommend tools and technologies to support Data & AI-driven decision-making, AI/ML initiatives, automation, and high-velocity pipelines.
• Design and develop a petabyte-scale Lakehouse infrastructure to support diverse data formats, seamless ingestion, storage, and analytics.
• Architect and manage a high-performance computation layer leveraging scalable engines for batch processing, real-time analytics, and AI/ML workloads.
• Deliver self-service capabilities while ensuring robust governance for data quality, privacy, and compliance throughout its lifecycle.
• Promote the adoption and utilization of the data platform by collaborating with stakeholders to identify impactful use cases, developing enablement resources, and ensuring the platform delivers measurable business value.

To be a Data Architect in JFrog you need...

• Bachelor’s or master’s in computer science, Data Science, Machine Learning, or a related field, or equivalent industry experience, is required.
• 8+ years of experience in data engineering, or a related role, preferably in large-scale, complex environments, including prior experience as a Data Architect.
• Strong knowledge of big data technologies (e.g., Spark, Hadoop) and data pipeline tools such as Apache Kafka, Apache Airflow, or cloud-native services. Proficiency in programming languages such as Python, Java, or Scala.
• Demonstrated success in leading major data initiatives, including building data architectures from the ground up.
• Strong understanding of the intersection between software and data engineering, with experience in designing systems to meet complex and evolving data requirements.
• Excellent communication, presentation, and stakeholder engagement skills, with the ability to work cross-functionally, convey complex technical concepts, and align diverse stakeholders toward common goals.
• Comfortable operating and thriving in unexplored or ambiguous territory, with a high level of independence and self-motivation.