דרושים » הנדסה » Director of Data Engineering

We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide.

What youll do (Role Expectations)

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale
Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements
Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers
Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.

What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our company core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads

We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.
Collaborate with Product to shape technical feasibility, sequencing, and scope for data-driven roadmap items; communicate complex technical topics in simple language to non-technical stakeholders.
Define and promote data architecture principles, modeling conventions, coding standards, and reusable patterns (shared transformations, libraries, datasets, services) to reduce duplication and technical debt; drive adoption of shared platform capabilities (observability, CI/CD, orchestration, governance, DevOps tooling) across squads.
Ensure data architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, data quality, and incident response; identify areas of high technical debt or architectural risk and lead remediation initiatives; define and track technical KPIs tied to architecture decisions.
Act as a technical mentor for senior engineers and tech leads, fostering a culture of thoughtful design, documentation, and constructive technical debate; lead by influence- help teams make better decisions instead of making every decision for them.

We are looking for a Data Products Engineer to take full ownership of our companys internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.
Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.
How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

We are looking for a Senior Data Engineer to build and scale the data foundation behind platform and products. You will own complex data end-to-end - from ingestion and transformation through modeling, quality, observability, and production delivery.
This is a hands-on senior IC role for a strong builder who can solve difficult data problems independently, set a high technical bar, and collaborate closely with engineering, DS, and product. You will turn large, fragmented datasets into reliable, reusable capabilities that power every product.
Responsibilities
Build and own scalable data pipelines- Design, implement, and operate robust pipelines for high-volume structured and unstructured data, with validation, monitoring, lineage, and recovery built in.
Scale the platform for growth- A key near-term initiative is re-architecting the system to support a significantly larger customer base. You will own performance and cost-efficiency across pipelines and services, keeping reliability and operating costs under control as the platform scales.
Build across the stack- This is not a pipelines-only role. You will also write backend services and some frontend, including the internal backoffice the team runs on. We hire builders, not narrow specialists.
Own the core data tables- Own schema design and evolution, data contracts, and the modeling standards the team follows - naming, shared dimensions, normalization, documentation. Be accountable when a table is wrong, late, or drifting.
Level up the teams data work- Pair with and advise software engineers and data scientists on Spark, SQL, and modeling, and help turn notebook-grade code into production-grade pipelines.
Partner cross-functionally- Translate product, client, compliance, and business requirements into clear technical designs and dependable production systems.

We are seeking an experienced Program Manager - Decisioning (Credit Risk) to own, evolve, and execute our risk decisioning products. This role partners closely with ML Engineers , Engineering Leads and Business Stakeholders to transition us from product-specific silos into a generic, high-velocity engine powering Card, BNPL, and emerging products.

Blending strategic oversight with hands-on, rigorous program execution, you will turn complex risk logic into scalable, explainable platforms. Youll own both long-range quarterly planning and sprint execution- defining who we approve, on what terms, and at what expected loss- while ensuring strict alignment with our risk portfolios, regulatory requirements, and long term unit economics. This role requires strong judgment, deep analytical thinking and meticulous detail standards.

As the Program Manager, your mission is to drive an advanced, adaptable decisioning platform that eliminates financial waste and prepares us for its next stage of hyper-growth. You will drive the delivery of core systems that determine how we approve, price, and manage risk-turning complex data into fair, instant, and transparent outcomes for millions of customers.

What Youll Do

Cross-Functional Partnership
Act as the glue in the "Decisioning Triangle," partnering with Business owners, ML Leads and Engineer Leads to operationalize underwriting policies, while taking into account the trade-offs between approval rates, loss, revenue, and customer experience. Partner and balance competing requirements from various business owners (Heads of Card, BNPL, etc.) as well as Compliance, Legal, and Operations to ensure high-quality execution and regulatory integrity.

Hands-On Program Management
Act as an owner for key initiatives, driving the full product lifecycle from discovery and definition through launch, iteration, and performance monitoring. Use data and experimentation to inform decisions and continuously improve outcomes. Identify and remove bottlenecks in the underwriting flow to drive toward high-automation and speed-to-market.

We are looking for a mission-driven BizOps Engineer to join our R&D team!
We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the BizOps Engineer, you will serve as both a platform architect and a hands-on builder. You will own the AI-native platform architecture and governance for all non-core product functions, including Sales, Operations, HR, Legal, and Finance, while also building, maintaining, and scaling custom AI solutions yourself to address specific departmental needs.
Reporting directly to the VP of R&D, this role begins as a high-impact Individual Contributor (IC) with a clear mandate to build and lead a dedicated engineering team as the function scales. Your primary focus will be designing and deploying infrastructure and security protocols while simultaneously delivering the bespoke AI tools that empower teams and drive operational efficiency.
You will have the autonomy to choose the most effective path forward for any given challenge, whether that means leveraging existing SaaS platforms, integrating open-source projects, or building custom solutions from scratch, always guided by the specific needs and projected ROI of the departments you support.
Responsibilities:
Architect and maintain the internal AI-native platform, while personally building and scaling custom AI solutions and automated workflows for cross-functional teams.
Establish and enforce security protocols, governance frameworks, and best practices to enable safe and compliant AI solution development across the organization.
Identify and scale platform enablement opportunities that allow departments to automate their own workflows using approved AI capabilities.
Monitor and manage organizational compliance for internal AI applications, ensuring data privacy and ethical standards are met at scale.

We are seeking an experienced and highly driven Director of Engineering to lead and scale our R&D team. This is a highly hands-on, deeply technical leadership role. You will be expected to actively contribute to codebases, lead by technical example, and ensure the high-quality delivery and scalability of our unified DataOps platform. This pivotal role requires a leader who can both deeply understand and solve complex technical challenges with code, while also inspiring and guiding a team to build innovative solutions. Reporting directly to the CTO, you will play a critical part in shaping our engineering culture, driving technical excellence, and fostering a collaborative environment that aligns closely with our product vision and business goals.

What You'll Do
Provide Technical Leadership & Guidance: Offer deep technical leadership, actively participating in coding, architectural design, and complex problem-solving to ensure high standards of code quality, scalability, and system reliability.

Lead & Grow Engineering Teams: Lead, mentor, and grow R&D engineering team, fostering a culture of technical excellence, hands-on problem-solving, and continuous improvement.

Drive Ownership & Accountability: Instill strong ownership, accountability, and a builder mindset within the engineering organization, empowering teams to execute with velocity and autonomy.

Solve Complex Challenges: Troubleshoot and resolve complex technical and organizational challenges to ensure smooth operations and delivery.

Collaborate Cross-Functionally: Collaborate closely with Product and other cross-functional teams to translate business requirements into robust technical solutions and align engineering efforts with company objectives.

Optimize Processes: Optimize engineering processes, methodologies, and tools to support rapid growth and evolving business needs.

Reduce Leadership Load: Strategically contribute to reducing the technical and operational load on current leadership, taking on key initiatives and areas of ownership.

We are looking for a hands-on Software Team Lead to manage and scale engineering organization in Israel. This role is responsible for the success, growth, and effectiveness of the engineering team while ensuring strong alignment with Product and business priorities. The team already consists of experienced engineers, established products, and a mature technology stack. The focus of this role is not to build an engineering organization from scratch, but to help it scale effectively as the company continues to grow. You will be responsible for developing engineers, improving execution, supporting technical decision making, expanding the team, and helping the organization successfully navigate the next phase of growth. The ideal candidate combines strong people leadership, technical credibility, operational excellence, and a pragmatic approach to software delivery.

What You'll Own
Engineering Leadership
Lead, mentor, and develop the engineering team through regular coaching, feedback, career development, and performance management.
Create an environment where engineers can perform at a high level, grow professionally, and take ownership of their work.
Support hiring efforts, interviewing, onboarding, and team expansion initiatives.
Help scale the Israeli R&D organization while maintaining strong engagement, motivation, and professional growth across the team.
Delivery & Execution
Partner closely with Product leadership to translate business goals and roadmap priorities into engineering execution plans.
Drive planning, prioritization, estimation, and delivery across multiple concurrent initiatives.
Ensure engineering commitments are delivered with high quality and predictable execution.
Identify risks, dependencies, and execution challenges early and drive solutions proactively.
Improve team effectiveness, development velocity, and operational efficiency as the organization grows.
Technical Leadership
Provide technical guidance across architecture, system design, and engineering best practices.
Participate in major architectural discussions and technical decision-making processes.
Support engineers through design reviews, code reviews, technical mentoring, and problem-solving.
Help balance short-term product needs with long-term scalability, maintainability, and platform health.
Partner with engineering teams to identify opportunities for improving reliability, performance, observability, and operational excellence.
Cross-Functional Leadership
Work closely with Product, QA, Design, Data Engineering, BI, and DevOps stakeholders to ensure successful delivery of company objectives.
Facilitate effective communication and collaboration across teams.
Act as the primary engineering representative in planning, prioritization, and execution discussions.
Help align technical decisions with broader business goals and strategic initiatives.