דרושים » תוכנה » Data Analytics Architect

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.

We are looking for an experienced and visionary Data Engineer to help design, build, and scale our BI platform.
In this role, you will be responsible for developing our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics to provide insights that serve both business intelligence and product needs.
You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.
If you enjoy turning raw data into powerful insights and owning the full data lifecycle, this role is for you!
Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability, and security.
Design and architect data products, from ingestion to transformation, modeling, storage, and access.
Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.
Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.
Integrate modern tools and frameworks such as Airflow, Databricks, Power BI, and streaming platforms.
Collaborate cross-functional with product, engineering, and analytics teams to translate business needs into data infrastructure.
Promote a data-driven culture - be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across .
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build next-generation data stack.
We believe three things matter for every role : drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals

We are on the lookout for a Senior Data Engineer to join our growing data team!

In this role, you will design and develop scalable data solutions, optimize data workflows, and support critical business processes. You will work with a variety of databases and big data tools in a cloud environment, focusing on data modeling, governance, and analytics.

What youll be doing:
Design, develop, and maintain end-to-end ETL pipelines, from gathering business requirements to implementation.
Work with multiple database technologies, especially BigQuery.
Optimize data models (DWH, fact & dimension tables, RI, SCDs) for performance and scalability.
Implement data governance best practices and maintain comprehensive documentation.
Utilize Big Data tools in cloud environments (GCP preferred).
Develop and support complex business workflows and data processes.
Design and implement monitoring systems to ensure data quality throughout the pipeline.
Workflow orchestration using Apache Airflow.
Collaborate with analysts and stakeholders to ensure high-quality data for business insights.
Support and optimize Tableau infrastructure for data visualization.

Were looking for a Data Engineer to join our company. This is a hands-on, cross-functional role focused on owning and improving our data quality, pipeline reliability, and modeling infrastructure. Youll be responsible for managing and optimizing our DBT models, ETL processes, and data connectors - and will work closely with product, operations, and engineering teams to ensure data is accurate, consistent, and accessible.

You should be someone who thrives on autonomy, takes pride in clean and scalable solutions, and enjoys helping others get the data they need.

In this role you will
Architect our entire DBT project and data warehouse structure completely from scratch-a rare, high-impact opportunity
Lead data modeling efforts: Translating business needs into scalable, reliable data models
Build and monitor data pipelines and connectors from various internal and external systems
Ensure high standards of data quality, consistency, and documentation
Collaborate with engineering, product, and operations teams to understand needs and build data solutions
Proactively detect data issues and work to resolve them
Help define and improve internal data best practices and standards
Support data governance efforts and advocate for trustworthy, well-modeled data
You will be one of the pioneers of a new team - passion & energy is required

Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
📍 Work location: hybrid from Tel Aviv
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

were looking for a Head of Analytics to define and elevate how analytics is practiced across the organization.

This is a senior individual contributor role with broad organizational influence. Beyond delivering insights, youll define how success is measured, establish analytical standards and methodologies, and help teams across Product, Growth, Marketing, Sales Operations, and Content make better decisions with data.

Youll serve as a trusted advisor to senior stakeholders, raise the analytical maturity of the organization, and help drive the next generation of AI-powered analytics.

What Youll Do:

Promote Data-Driven Decision Making
Partner with Product, Growth, Marketing, Sales Operations, and Content teams to understand business challenges and enable better decision-making.
Define KPI frameworks and measurement strategies that align with business goals.
Translate complex business questions into clear analytical approaches and actionable recommendations.
Act as a trusted advisor to stakeholders, challenging assumptions and influencing decisions through data.

Build Analytics Excellence
Establish analytical methodologies, standards, and best practices across the organization.
Lead the companys approach to experimentation, KPI definition, and performance measurement.
Mentor analysts and help raise the overall analytical capabilities of the team.
Promote a culture where data-driven decision-making becomes the default.

Drive Product, Growth & Subscription Analytics
Partner with teams across the customer lifecycle, from acquisition and activation through conversion, retention, and monetization.
Analyze user behavior, subscription performance, pricing initiatives, and product changes to uncover growth opportunities.
Connect analytical findings to clear business actions and measurable outcomes.

Shape the Future of AI in Analytics
Leverage AI tools to accelerate analysis, insight generation, and decision-making.
Help design AI-powered analytical workflows and data analysis agents.
Continuously identify opportunities to improve how analytics creates business value through AI.

Improve Analytics Infrastructure
Identify gaps in tracking, data quality, measurement, and reporting.
Partner with data and engineering teams to improve data availability, reliability, and accessibility.
Drive the development of dashboards, alerts, and scalable self-service analytics capabilities.
Ensure business teams can confidently access and interpret the data they need.

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineeing workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.

We are seeking a Senior BI Engineer to serve as the primary interface and strategic analytics partner between Data Engineering / DWH teams, management, and business leaders. In this strategic role, you will work closely with leadership and business partners to translate business objectives into actionable data solutions, establish analytics standards and best practices, and lead experimentation across core business processes. You will also plan, prioritize, and manage analytics initiatives and roadmaps, ensuring the timely delivery of insights and solutions that drive informed decision-making across Marketing, Sales, Finance, Support, and Customer Success.

Key Responsibilities

Serve as the primary interface and analytics partner between Data Engineering / DWH teams and business stakeholders
Translate business needs into analytics requirements, specifications, roadmaps, and prioritized backlogs
Collaborate with Data Engineers on DWH requirements, data models, and pipelines
Plan, coordinate, and track analytics initiatives and projects to ensure timely delivery and alignment with business objectives
Support stakeholders in understanding, interpreting, and using ingested and production data
Define and own analytics standards, metrics, and best practices across the company
Design, execute, and analyze experiments to optimize core business processes
Define dashboard requirements and deliver impactful dashboards and insights
Work with Systems, Product, and R&D teams to map data sources, address data gaps, and improve data quality