דרושים » מחשבים ורשתות » Senior Data Architect

We are looking for a Senior Software Architect to help define and evolve the architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable systems, set technical direction, 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 architectures with teams, reviewing designs and critical code, and driving shared standards and patterns across the organization, all in an advance agentic environment.
Responsibilities:
Architecture & technical leadership
Define and evolve the architecture for key domains in our platform (APIs, services, data flows, integration, observability, security).
Translate business and product requirements into clear, pragmatic technical designs and architecture roadmaps.
Create and maintain architecture artefacts: diagrams, decision records (ADRs), reference implementations, and guidelines.
Evaluate design options and technology choices, articulate trade‑offs, and lead the decision‑making process with stakeholders.
Push forward the agentic mindset and implementation.
Working with squads (R&D)
Partner with squad leads and senior engineers to design solutions, break down complex problems, and keep implementations aligned with the target architecture.
Participate in design / tech reviews, ensuring non‑functional requirements (performance, resilience, security, operability) are addressed early.
Provide hands‑on support where it matters most: spike and prototype critical flows, review complex pull requests, and help debug tricky production issues.
Partnering with Product
Collaborate with Product to shape technical feasibility, sequencing, and scope for roadmap items and cross‑squad initiatives.
Communicate complex technical topics in simple language to non‑technical stakeholders when discussing roadmap options and trade‑offs.
Standards, reuse, and platform mindset
Define and promote architecture principles, coding standards, and reusable patterns (modules, libraries, services) that reduce duplication and technical debt.
Champion platform thinking: design services and components that can be safely reused across teams and products.
Drive adoption of shared platform capabilities (observability, CI/CD, authentication, data, DevOps tooling) across squads.
Quality, reliability, and continuous improvement
Ensure architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, and incident response.
Identify areas of high technical debt or architectural risk and lead structured remediation initiatives.
Help define and track technical KPIs (e.g., performance, reliability, incident volume) tied to architecture decisions.
Mentoring and leadership
Act as a technical mentor and sounding board for senior engineers and tech leads, helping them grow their architecture skills.
Foster a culture of thoughtful design, documentation, and constructive technical debate.
Lead by influence rather than authority: you help teams make better decisions instead of making every decision for them.

at the company, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we havent stopped growing since!
were looking for a senior data engineer in the data collection ingest team to contribute to the design and coding of the company's data ingestion services & pipelines. this role involves working as part of a team that handles millions of requests per minute across multiple servers, and is responsible for a wide-range of data pipelines, processing billions of events each day.
why is this role so important at the company?
as the most trusted platform for measuring online behavior, millions of people rely on the company's insights daily as the ground truth for their knowledge of the digital world. producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis. as a data engineer you will have the opportunity to perform hands-on work and own the company's raw data ingestion pipeline end-to-end. your work will have a direct impact on the quality and reliability of our data and the insights that our products are delivering to our customers.
so, what will you be doing all day?
your role as data engineer of the ingest data collection team means your daily responsibilities may include:
design, code and manage end-to-end the company's data ingestion pipelines, both online and offline.
take charge of developing & maintaining modern data infrastructure, while implementing best practices for building data pipelines.
be responsible for high-scale ingestion services, solving challenges of availability, reliability, and scalability.
run the production environment by monitoring availability and taking a holistic view of system health and data quality.
own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
lead design & decision-making processes of the team.
solve diverse complex problems of scale, performance and business logic.
collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
continuously learn and evaluate new technologies in the everlasting effort to perfect our products
perform code reviews, evaluate implementations, and provide feedback about potential improvements.
improve your skills, learn from and mentor top-notch engineers and enrich other team members.
have lots of fun!