20 beste Stellen als it security architect – aktuell auf Personalsuche

Data Product Analyst
SonarSource —Genf, GE
- Überstunden
- Datenanalyse
- Englisch
- SQL
8 Tage
ICT-Architekt/-in (Infrastruktur/Lösung)
Bundesverwaltung - Eidgenössisches Justiz- und Polizeidepartement EJPD —Zollikofen, BE
- Englisch
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International Air Transport Association (IATA) —Genf, GE
- Homeoffice
- Master
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2 Tage
Domain Consultant
Palo Alto Networks —Zürich, ZH
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- Englisch
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- Urlaub aus familiären Gründen
2 Tage
Cloud Infrastructure Architect - Client Advisory
Avaloq —Bioggio, TI
- 100%
- Englisch
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CDD - Maintenance Project Coordinator (F/H)
Hermès Paris —Genf, GE
- 100%
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Capco —Zürich, ZH
- Salesforce
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Senior Enterprise Architect
Ergon Informatik AG —Zürich, ZH
- CHF 100’000 - CHF 150’000 pro Jahr
- 100%
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Binance —Asia, La Libertad
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ELCA Informatique SA —Zürich, ZH
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adesso Schweiz —Bern, BE
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AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
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SECURIX AG Schweiz —Olten, SO
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RUAG MRO Holding AG —Bern, BE
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Senior Product Manager - Observe by Snowflake, Enterprise
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Senior Enterprise Architect
Ergon Informatik —Zürich, ZH
- 100%
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Sr Specialist SA – IMM EU-Central, Infrastructure Migration and Modernization
AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
- 100%
- Management-Erfahrung
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Senior/ Expert Software Architect (m/f/d)
mimacom —Zürich, ZH
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- Englisch
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Weitere Job-Standorte erkunden

it security architect jobs near

Data Product Analyst

SonarSource -
Genf, GE

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 8 Tagen

Leistungen

Unterkunft

Qualifikationen

Jira
Datenanalyse
Git
Englisch
Tableau
SQL
AWS
Mentoring
GitHub

Vollständige Stellenbeschreibung

Who is Sonar?

Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.

We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:

SonarQube: The world’s leading AI code review and verification platform.
SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:

Committed to our customers and community.
Obsessed with quality.
Deliberate in our decisions.
Effective as one team.

With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.

Position description

We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions. To achieve this goal, we are looking for a talented Data Product Analyst (DPA) to join the product data team.

As a Data Product Analyst (DPA) at Sonar, you are the architect of clarity and the bridge between technical infrastructure and business value. We treat Data as a Product, and you own its entire lifecycle—from dbt SQL modeling and event-based schema governance to high-level executive storytelling.

You will thrive in this role if you enjoy a "full-stack" analytical challenge. You are a proactive project leader who owns the data relationship for your domain. Depending on the need, your impact ranges from empowering users through data literacy to leading complex, end-to-end analyses from initial conception to the final executive summary.

What you will do

We believe in using the best tools to stay effective and efficient. You will be expected to master and evolve our data ecosystem:

Data project ownership & delivery

Managing a data project from start to finish using agile method, helping stakeholders to refine their questions into structured data projects, advising stakeholders on what to measure, how to model it, and which tool to use and facilitating stakeholder discussions to bridge the gap between high-level business goals and technical execution.
Deliver end-to-end solutions, from ingestion and modeling to executive-ready visualizations and summaries.

Technical stack

Modeling & Architecture: Build and maintain scalable models using dbt (SQL) and provide critical reviews of event schemas for our event-based platform.
Modern Workflow: Leverage Cursor and Git to accelerate development and ensure code quality and version control.
The Analytics Hub: Own the user experience across Mixpanel, Tableau, Metabase, and Atlan, ensuring they serve as the single source of truth.

Data literacy

Onboarding and empowering users to self-serve, effectively reducing the data team as a bottleneck.
Handling ad-hoc requests ranging from querying specific datasets to providing technical guidance on our tooling landscape.
Participating in Level 1 technical support, including monitoring dbt jobs and Tableau extracts to ensure the reliability of our products.
Project Governance: Use Jira for roadmap visibility and dbt/Confluence/Atlan for high-quality documentation that survives handoffs.

Continuous Platform Improvement

You act as a bridge to Data Engineering. You’ll proactively surface data debt, documentation gaps, and tooling friction to ensure the platform gets simpler and stronger over time. You’ll also ensure high standards for PII handling and security policies are built into every delivery.

Experience and qualifications

Proven Experience: 3–5+ years in a Data Analyst, Data Product Analyst, or Analytics Engineering role, ideally within a fast-paced environment.
Project Leadership: A track record of taking the lead with stakeholders—successfully translating high-level business ambiguity into structured, actionable data projects. You have experience helping and mentoring other team members.
Technical Mastery: hands-on experience with dbt / SQL (modeling, testing, and documentation).
Hands-on experience with data visualization tools (Tableau, Mixpanel, or similar)
The Modern Workflow: Comfort working in a version-controlled environment (Git) and an interest in leveraging AI-assisted development tools (like Cursor) to drive efficiency.
Data Storytelling: The ability to distill complex findings into executive-ready summaries and visualizations that drive decision-making.
You are fluent in English both written and spoken
Familiarity with data governance practices (PII handling and access control).
Experience in Product Analytics or working directly with Product Managers a nice to have
Familiarity with data engineering concepts (Data Lake, Data Warehouse, ETL / ELT pipeline) and tools (AWS, redshift, Lamdas, Databricks) is a plus

We value diversity, equity, and inclusion

At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you need any accommodation, please reach out to us at [email protected].

All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.

We do not currently support visa candidates in the US.

Applications that are submitted through agencies or third party recruiters will not be considered.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Jetzt bewerben

Erweiterte Suche

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