דרושים » מכירות » Data Protection Sales Engineer

we are looking for a Principal SW Architect to join our elite group which is responsible for building a platform that serves all our company's SaaS products.
In this role, you will be responsible for Data & AI Platform services, build best in class architecture that would insure high quality and & continuity by making sure that our services are robust, simple, efficient and extensible & Secured.
In addition, you will ensure that these services architecture is capable of rapidly evolving to support functional and scalability goals.
You will create guidelines and best practices for developing SaaS services upon our company Platform focused on data processing, analysis, and AI by leveraging state-of-the-art serverless technologies on the AWS platform.
You will also build, lead, and develop new architects and mentor them until they reach a high level and work independently.
We are looking forward for an energetic and versatile person to join our family and help us achieve our goals.

Company Overview: Our mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrites AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our digital forensic and investigative solutionsavailable via cloud, on-premises and hybrid deploymentsto close cases faster and safeguard communities. To learn more, visit uur website.
Position Overview We are looking for an experienced and visionary Staff data Architect to play a critical role in defining and shaping the data architecture for our flagship investigative analytics platform.
In this position, you will design and guide the implementation of robust, scalable, and secure data pipelines that power advanced data processing for AI-driven insights as part of digital investigations.
You will work closely with cross-functional teams to drive technology alignment and ensure architectural excellence across multiple domains. This is a high-impact role, ideal for someone with deep technical expertise and strong strategic thinking, who thrives in a dynamic, collaborative environment and is passionate about building world-class technology platforms.
As our data Architect, you will own the vision for how we manage, move, and leverage data within our SaaS product suite. Your role is pivotal in designing and implementing a robust data architecture that supports both Real-Time operational needs and advanced analytics, all within a scalable and cost-effective cloud-native environment.
Responsibilities Own the data Vision:
Take ownership of the data architecture, including our data lake, data warehouse, and ETL /ELT pipelines, to support our product teams and business intelligence.
Cost Optimization & Scalability:
Provide architectural leadership and guidance to ensure our data platforms are designed for cost efficiency and scalability, actively identifying and implementing opportunities to optimize cloud spend. Product-Centric Collaboration:
Collaborate with engineering, product, data science, and security teams to translate product requirements and business needs into a strategic data architecture that drives product innovation.
Design & Governance:
Conduct deep architecture reviews, assess technical risks, and provide recommendations to ensure data quality, security, and governance are Embedded into every product.
Standardization & Enablement:
Define and standardize data modeling practices, governance frameworks, and data pipeline patterns to enable efficient and consistent data development across product teams.
Technology Evolution:
Evaluate new data technologies, tools, and methodologies (e.g., streaming platforms, modern data warehouses) to continuously improve our data platforms.
Documentation & Mentorship:
Document architectural decisions, data flow diagrams, and cost models. Act as a mentor and technical authority, fostering a culture of technical excellence and cost-awareness.
Office Location:
Petah Tikva

Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
In your role, you will be responsible for developing and maintaining high-quality work procedures, executing both manual and automated tests, and leading the team to achieve better quality.
This is a rare opportunity to help shape a new security infrastructure layer from the ground up in a team with the agility of a startup and the backing of a mature organization. Youll play a pivotal role in shaping how AI agents operate safely and effectively across real-world enterprise environments.
Responsibilities:
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first mindset collaborate with developers to ensure code is testable and observable.
Partner with product and security to define quality gates for features like agent identity, access delegation, and secrets handling.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions about test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to push for E2E coverage.