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Data Architect jobs in Israel

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521 jobs found
Yesterday
L

Leumi Data Scientist Israel

Limitless High-tech career opportunities - Expoint
Description:
תיאור משרה:

דאטה סיינטיסט שישתלב בצוות תיקוף מודלים בחטיבה לניהול הסיכונים - האחראי על בחינה והערכת מודלים אנליטיים וסטטיסטיים המשמשים את הבנק בתחומים מגוונים כגון: אשראי קמעונאי ועסקי, תמחור, שיווק, ציות ותחומים נוספים.
התפקיד כולל ביצוע בחינה, הערכה ואיתגור, שכולל לעתים גם פיתוח מקביל, של מודלים מתקדמים כולל ML, AI. (חיזוי, סיווג, זיהוי אנומליות ועוד).
התפקיד כולל הבנה עסקית של המודל, ניתוח מתודולוגיות, ביצוע בדיקות תיקוף עצמאיות, בניית מודלים, סיכום ותיעוד התיקוף והצגת ממצאים והמלצות בפני הנהלה בכירה, בהתאם להנחיות בנק ישראל ותקני Model Risk Management בינלאומיים.
בנוסף, תיקוף ובחינה של מודלי AI, יישום עולם הבינה המלאכותית והטמעת פתרונות AI בתחומים שונים בבנק.

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10.12.2025
ORC

ORCA Security Data/Product Analyst Israel, Tel-Aviv District, Tel-Aviv

Limitless High-tech career opportunities - Expoint
High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer...
Description:
Highlights
  • High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
  • Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
  • Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
  • Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the role

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

About you
  • 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
  • Proven experience in SQL writing, specifically in querying large and complex data sets
  • Experience in BI tools and in DBT/Python
  • Looker proficiency – an advantage
  • Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
  • B.Sc./BA in industrial/information systems engineering, statistics or equivalent
  • Experience in operational or cross-department roles – an advantage
  • Great communication skills
  • Business orientation and a passion for data analytics
  • High level of spoken and written English
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08.12.2025
PA

Palo Alto Senior Manager Software Engineering - Data Security Cortex C... Israel, Tel Aviv District, Tel Aviv-Yafo

Limitless High-tech career opportunities - Expoint
Lead, mentor, and grow multiple engineering teams and managers within the DSPM domain. Own the full SDLC - from translating product strategy into actionable roadmaps to ensuring flawless execution and...
Description:

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

  • Lead, mentor, and grow multiple engineering teams and managers within the DSPM domain.
  • Own the full SDLC - from translating product strategy into actionable roadmaps to ensuring flawless execution and on-time delivery.
  • Engage directly with strategic customers to lead technical deep-dives, architecture reviews, and roadmap discussions.
  • Set high engineering standards for quality and security while building a culture of accountability and continuous improvement.
  • Build a culture of accountability, ownership, and continuous improvement.
  • Oversee the architecture of scalable, distributed systems (primarily Python & Go) capable of processing data at petabyte scale.
  • Guide teams on building high-throughput pipelines and cloud-native microservices.
  • Ensure efficient deployment, observability, and runtime stability in production environments.
  • Partner closely with Product Managers and cross-functional groups (Infra, Research, UX) to define priorities and build multi-quarter roadmaps.
  • Align stakeholders across business units and communicate tradeoffs, risks, and execution plans with clarity.

Your Experience

  • 3+ years managing software engineering teams, including managing managers.
  • 5+ years of experience as a hands-on software engineer.
  • Proven track record of delivering complex, distributed cloud products end-to-end.
  • Strong systems-level background in one or more languages: Go, Python.
  • Experience with large-scale cloud architectures (GCP, AWS, or Azure).
  • Demonstrated ability to plan, execute, and deliver roadmaps with high predictability.
  • Strong collaboration skills; able to align cross-disciplinary teams around a shared goal.

Advantages

  • Experience with orchestration frameworks (Temporal, Argo Workflows, etc.).
  • Familiarity with BigQuery, MongoDB, PostgreSQL, or similar.
  • Background in cybersecurity, data security, or threat intelligence.
  • Experience running services at massive scale across distributed environments.

All your information will be kept confidential according to EEO guidelines.

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24.11.2025
N

Nvidia Chip Architect Israel, North District

Limitless High-tech career opportunities - Expoint
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers...
Description:
Israel, Yokneam
Israel, Tel Aviv
time type
Full time
posted on
Posted 5 Days Ago
job requisition id

What you'll be doing:

  • Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.

  • Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

  • Work on proof of concepts and advance development projects.

  • Perform research and analysis for current and future architectures.

  • Craft product design specifications.

  • Serve as a focal point within the organization and distribute the knowledge that you acquire.

What we need to see:

  • BSc or MSc or equivalent experience in electrical engineering.

  • Deep understanding of how to build and integrate systems with various technology components.

  • Knowledge and understanding of computing and networking systems.

  • A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.

  • Utmost passion for attention to details in design and a high focus on design quality.

Ways to stand out from the crowd:

  • Experience and love for system architecture,

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23.11.2025
N

Nvidia Senior LLM Agents Architect Israel, North District

Limitless High-tech career opportunities - Expoint
Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles. Facilitate co-creation workshops to transform SME rules of thumb into specific assignments, resources, cues, and...
Description:
Israel, Yokneam
Israel, Raanana
time type
Full time
posted on
Posted 6 Days Ago
job requisition id

What you'll be doing:

  • Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.

  • Facilitate co-creation workshops to transform SME rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW simulation analysis and GPU-kernel optimization workflows.

  • Rapidly prototype and thoughtfully productize; integrate with internal services, utilize GPU capabilities, remove bottlenecks, and deliver fitting solutions.

  • Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.

  • Mentor and improve teams through insights in agent orchestration, prompting, RAG, observability, crafting documentation and playbooks for NVIDIA's teams.

What we need to see:

  • 7+ years in applied ML/AI or large-scale systems, with 3+ years crafting agentic or LLM-powered applications in production environments.

  • B.Sc in Computer Science/ Electrical Engineering

  • Proven ownership of at least one end-to-end agentic system or LLM application: requirements, architecture, implementation, evaluation, and incremental hardening in production.

  • Strong software engineering skills in Python and one systems language (C++ or Rust preferred); experience integrating with GPUs, CUDA, or performance-critical services.

  • Proficient in PyTorch or TensorFlow; skilled in tool use, RAG pipelines, and model adaptation.

  • Demonstrated ability to collaborate with HW/SW domain experts and translate their heuristics into deterministic tools, constraints, and evaluation metrics.

  • Excellence in communication and facilitation: aligning diverse collaborators, documentingdecisions/assumptions,and influencing without authority.

  • Track record of building observability for AI systems: dataset/version management, offline test suites, online telemetry, guardrails/safety checks, and rollback plans.

  • Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits.

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23.11.2025
U

Unity Senior DevOps Engineer Data Platform Israel, Tel-Aviv District, Tel-Aviv

Limitless High-tech career opportunities - Expoint
Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams. DataOps Excellence: Create seamless...
Description:
The opportunity
  • Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
  • DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
  • Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
  • Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
  • Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
  • Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
  • Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
  • Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
  • Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
  • Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale
What we're looking for
  • 3+ years of hands-on DevOps experience building, shipping, and operating production systems.
  • Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
  • Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
  • Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
  • Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
  • GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
  • Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.
You might also have
  • Data Pipeline Orchestration - Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
  • Data Engineer Experience Focus - Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
  • Data Infrastructure Deep Knowledge - Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems
Additional information
  • Relocation support is not available for this position.
  • Work visa/immigration sponsorship is not available for this position

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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Limitless High-tech career opportunities - Expoint
Description:
תיאור משרה:

דאטה סיינטיסט שישתלב בצוות תיקוף מודלים בחטיבה לניהול הסיכונים - האחראי על בחינה והערכת מודלים אנליטיים וסטטיסטיים המשמשים את הבנק בתחומים מגוונים כגון: אשראי קמעונאי ועסקי, תמחור, שיווק, ציות ותחומים נוספים.
התפקיד כולל ביצוע בחינה, הערכה ואיתגור, שכולל לעתים גם פיתוח מקביל, של מודלים מתקדמים כולל ML, AI. (חיזוי, סיווג, זיהוי אנומליות ועוד).
התפקיד כולל הבנה עסקית של המודל, ניתוח מתודולוגיות, ביצוע בדיקות תיקוף עצמאיות, בניית מודלים, סיכום ותיעוד התיקוף והצגת ממצאים והמלצות בפני הנהלה בכירה, בהתאם להנחיות בנק ישראל ותקני Model Risk Management בינלאומיים.
בנוסף, תיקוף ובחינה של מודלי AI, יישום עולם הבינה המלאכותית והטמעת פתרונות AI בתחומים שונים בבנק.

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Data Architects in Israel play an important role in helping businesses utilize technology for maximum efficiency. They are responsible for developing and modeling enterprise-wide databases, layouts, and systems that allow for the accurate storage and retrieval of data. Data Architects in Israel must possess a deep knowledge of data storage and management, as well as the ability to collaborate with IT, product, and engineering teams. As the technology industry continues to evolve and expand, data architects must have the foresight to develop and implement technologies to meet business needs. In this ever-evolving field, data architects need to stay up-to-date on emerging technologies, trends, and best practices. Therefore, these professionals should be detail-oriented and have a thirst for knowledge. They should be comfortable with analytics and possess excellent communication, problem-solving, and critical thinking skills. In order to become a Data Architect in Israel, one must possess at least a bachelor’s degree in computer science, information systems, or another related field. Pre-existing skills and experience will be beneficial. Previous positions in software development, systems engineering, or data management can provide a boost. Expoint is the ideal platform for data architects in Israel to connect with businesses and find the right job opportunities. Expoint provides job seekers with an insider’s view on cutting-edge market trends and resources. The platform is created solely to provide a streamlined hiring experience tailored to Israel’s tech industry. Expoint also ensures accurate search results, curated job postings, and efficient hiring navigation to make the recruitment of Data Architects easier.