Staff Data Engineer (Remote in Brazil) at KnowBe4 – Brazil | Jobyssey

KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense.

Position open to candidates located in Brazil. Please submit your resume in English.

To learn more about our team and office culture in São Paulo, Brazil, visit the following links.
Careers Page:
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-S%C3%A3o-Paulo-Location-EI_IE969384.0,7_IL[…]M_-C1lsxoZq7Cx8IriVE8MkrzuTmnJzqego77RAWZz9sqGt_55BflwYKpQeg
LinkedIn:

As a Staff Data Engineer, you will serve as a technical lead and architectural pillar for the global data platform team. You will partner with engineering management and stakeholders to define the long-term architecture of our event-driven platform, establish agentic AI frameworks, and guide technical direction for the team.

Key Responsibilities

Partner with the Principal Data Engineering Manager to design and plan the platform's core architecture, selecting tools, technologies, and system patterns.
Design systems and security guardrails to provide customers with agentic experiences while preventing data leakage across multi-tenant environments.
Formulate data orchestration and modeling strategies to maximize business impact, enforcing querying best practices and architectural standards.
Own the architecture and reliability of key domains within the data platform, contributing to org-wide standards, SLAs, and best practices that other teams build against.
Work closely with Infosec, SRE, and executive leadership (Directors/VPs) to ensure platform initiatives align with company-wide compliance, security, and business goals.
Guide Senior Engineers on complex design patterns, code quality, and adoption of modern data platform tools.

Requirements & Qualifications

~5+ years of experience in data platform architecture and data engineering, with a track record of driving technical strategy and system design.
Expert proficiency in Python, SQL, PySpark, and AWS data platform services.
Solid understanding of data lake, data warehousing and analytics.
Deep background in designing event-driven architectures operating at scale (thousands of events/sec).
Practical knowledge or strong domain exposure to agentic AI workflows, LLM integration, and AI safety guardrails.
Proven ability to translate complex business needs into data architecture and communicate technical roadmaps clearly to non-technical stakeholders.

Our Fantastic Benefits

We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit .

Note: An applicant assessment and background check may be part of your hiring procedure.

Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.

No recruitment agencies, please.

Staff Data Engineer (Remote in Brazil)

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