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 Architectin 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.
  
  

• 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.