Big Data Team Lead jobs in Israel

As Product Team Lead - Platform, you’ll own the platform domain, focusing on foundational infrastructure, internal tooling, data, and extensibility that power our entire product ecosystem. You’ll collaborate with R&D, Data, Marketing, and Business teams to deliver scalable, high-impact capabilities. Above all, this role requires a deeply data-driven and technical mindset, combined with a strong hands-on approach, actively engaging in day-to-day product work, leveraging insights to guide strategy, track performance, and iterate with confidence.

• Product Execution: Lead platform initiatives, drive end-to-end product delivery, from concept to launch, with clear goals, smart prioritization and high-quality outcomes.
• Team Leadership: Lead, mentor, and support product managers. Foster a culture of ownership, clarity, and impact. Recruit, retain, and grow top-tier product talent.
• Platform Strategy & Roadmap : Define and own the platform roadmap. Partner with engineering to build the right foundations, capabilities, and APIs that power internal and external products.
• Cross-Functional Alignment: Collaborate closely with R&D, Data, Marketing, and other departments to ensure cohesive execution and go-to-market success.
• Operational Ownership: Deep understanding of the product lifecycle, UX, and modern product management practices. Own team performance and ensure timely, high-quality delivery across the product lifecycle.
• Scalability: Design and evolve product processes that support rapid scaling without compromising speed or focus.
• Innovation & Impact : Champion the development of new platform capabilities and user-facing features that deliver long-term value at scale.
• Data-Driven Mindset : Rely on data, experimentation, and insights to guide prioritization, validate solutions, and continuously improve product performance.

• Leadership : Proven experience as Product Team Lead or Product Director in tech and complex products.
• Product Expertise : Over 7 years of hands-on experience in product management, including proficiency in product strategy, UX, and market analysis. Experience leading platform product teams is a strong advantage.
• Hands-On Mindset : Open and willing to take a hands-on approach in day-to-day product management tasks, including defining requirements, analyzing data, and collaborating closely with engineers.
• Product Execution: Lead platform initiatives and drive end-to-end delivery, from concept to launch, with clear goals, smart prioritization, and high-quality outcomes .
• Platform Ownership: Define and own the platform roadmap. Partner with engineering to build the right foundations, capabilities, and APIs that power internal and external products.
• Problem-Solving Attitude : Demonstrated ability to tackle challenges with a proactive "I can move a mountain" approach.
• Lifecycle Mastery : Deep understanding of the product development lifecycle and best practices.
• Framework Creator : Experience in creating product frameworks and go-to-market strategies is an advantage.

• Lead, mentor, and manage a team of product designers working on the core Editor experience
• Set design direction and uphold high standards of design quality, usability, and user impact
• Provide strategic input on product and design decisions, ensuring alignment across teams and stakeholders
• Guide designers through all stages of the design process, from discovery to final implementation
• Promote team growth through clear feedback, career development, and hiring
• Foster a collaborative, creative, and inclusive design culture
• Align with product managers, engineers, marketers, and content designers to deliver cohesive, human-centered experiences
• Contribute to shaping and evolving design team practices, tools, and rituals

• 7+ years of product design experience, including 2+ years managing or leading other designers
• Proven ability to lead and grow high-performing design teams
• Deep experience delivering end-to-end product workflows across complex user scenarios
• Excellent communication, feedback, and stakeholder management skills
• Strong visual and interaction design skills, with attention to detail and craft
• A collaborative leader who thrives in fast-paced environments and knows how to get things done
• High level of written and spoken English

Nice to have:

• Experience designing web editors or creative tools
• Familiarity with design systems and building reusable components in Figma
• Knowledge of Elementor and/or WordPress
• Background in Visual Communication or Interactive Design

• Develop and execute AI strategies aligned with business objectives
• Advise leadership on AI capabilities and potential applications
• Guide teams in adopting AI tools and methodologies
• Ensure ethical and efficient implementation of AI technologies
• Design and oversee AI-driven process improvements
• Collaborate with various departments to identify AI opportunities
• Stay current with the latest AI trends and advancements
• Conduct AI-related training and workshops for staff
• Manage AI projects from conception to implementation
• Evaluate and recommend AI tools and platforms
• Leading a team of AI engineers

• Deep understanding of AI technologies, including large language models
• Expertise in prompt engineering and AI-powered automation
• Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
• Knowledge of AI ethics and regulatory considerations
• Strong problem-solving and analytical skills
• Proficiency with Python or TypeScript for building AI workflows and data pipelines
• Excellent communication and leadership abilities
• Ability to translate complex AI concepts for non-technical audiences
• Experience in project management and cross-functional collaboration

• Advanced degree in Computer Science, AI, or related field
• Previous experience in AI implementation within an organizational setting
• Certifications in relevant AI technologies or platforms
• Familiarity with no-code AI application development
• Bachelor's degree in Computer Science, AI, or related field

• 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.

• 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

• 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

• 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.

• 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

• 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.

• Establish and lead a new team of skilled software engineers, setting a high technical and cultural bar.
• Recruit, grow, and mentor top engineering talent, ensuring a healthy and high-performing team.
• Define and evolve the platform’s technical architecture and roadmap, from early design to scaled implementation.
• Drive end-to-end ownership of product delivery, ensuring quality, timelines, and impact.
• Collaborate cross-functionally with Product, QA, DevOps, Data, and other stakeholders to align on goals and drive execution.
• Lead the design and development of scalable, secure, and high-availability payment services and infrastructure.
• Build systems with future scale, extensibility, and compliance in mind.

• Proven leadership experience, including 5+ years leading engineers, with a track record of hiring, growing, and managing high-performing teams.
• Hands-on experience in building and scaling payments or fintech systems.
• Strong platform engineering background, including microservices architecture, event-driven systems, and versioned APIs.
• Deep knowledge of security, compliance, and regulatory considerations in fintech/payments.
• Demonstrated success in taking products from 0 → 1 in fast-paced environments.
• Backend-focused, with working knowledge of modern frontend frameworks.
• Strong system design and problem-solving skills, with a hands-on, proactive mindset.
• Proficiency in object-oriented programming and software design patterns.

Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.

• Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.

• Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.

• Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.

• Technology Breadth: Work across the full DevOps spectrum – from Infrastructure as Code and Kubernetes to DataOps and developer productivity tools.
• Growth Trajectory: A clear path for career advancement as you demonstrate success and grow your leadership scope.

• Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
• Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
• Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
• Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
• Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.

• Cloud Platform Expertise: Deep hands-on experience with AWS/Azure/GCP services, Kubernetes cluster management, and implementing secure, scalable cloud infrastructure architectures.
• Infrastructure as Code Mastery: Proven ability to design and implement infrastructure automation using tools like Terraform, CloudFormation, or Pulumi at enterprise scale.
• CI/CD & GitOps Expertise: Demonstrated success building and optimizing continuous integration and delivery pipelines using modern tools (e.g., GitHub Actions, Jenkins, ArgoCD).
• Data Infrastructure Knowledge: Experience designing and implementing infrastructure for data-intensive workloads, including data processing pipelines (Kafka), storage solutions, and observability systems.
• Database Expertise: Deep knowledge of relational databases (e.g., MySQL, SingleStore, PostgreSQL), including performance tuning and scalability best practices.

• Experience with big data processing applications using Spark.
• Knowledge of Machine Learning platforms such as Ray or Seldon Core.
• Proficiency in a scripting language like Python or Go for automation.
• Familiarity with DevSecOps practices and automated security tooling.
• Experience with cloud cost management and FinOps principles.

• 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.

Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.

Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.

Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.

Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).

• Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
• Owning SLOs, on-call, incident response, and postmortems for core data services.
• Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
• Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
• Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
• Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
• Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
• Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

• 2+ years leading engineers (team lead or manager) building/operating large-scale data platforms; 5+ years total in Data Infrastructure/DataOps roles.
• Proven ownership of cloud-native data platforms on AWS: S3, EMR (preferably EMR on EKS), IAM, Glue/Data Catalog, Athena.
• Production experience with Apache Iceberg (schema evolution, compaction, retention, metadata ops) and columnar formats (Parquet/Avro).
• Hands-on depth in at least two of: Trino/Presto, Apache Spark/Structured Streaming, Apache Druid, Apache Flink.
• Strong conceptual understanding of Kubernetes (EKS), including autoscaling, isolation, quotas, and observability
• Strong SQL skills and extensive experience with performance tuning, with solid proficiency in Python/Java.
• Solid understanding of Kafka concepts, hands-on experience is a plus
• Experience running on-call for data platforms and driving measurable SLO-based improvements.

• Experience building feature platforms (feature definitions, materialization, serving, and online/offline consistency).
• Airflow (or similar) at scale; Argo experience is a plus.
• Familiarity with BigQuery (and ideally BigLake/Iceberg interop) and operational DBs like Aurora MySQL.
• Experience with Clickhouse / Snowflake / Databricks / Starrocks.
• FinOps background (cost attribution/showback, Spot strategies).
• Data quality, lineage, and cataloging practices in large orgs.
• IaC (Terraform/CloudFormation)

• 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.