We’re building a new way for businesses to move money because the old systems are broken For decades, international payments have been slow, expensive, and trapped in legacy infrastructure. In 2025, stablecoins became mainstream, making "instant" a reality—but most businesses still need help to adopt them. That’s why we built Cybrid. Our mission is to make it effortless for businesses and consumers to use stablecoins and the digital assets of tomorrow. We provide simple APIs that let fintechs, banks, and enterprises plug into stablecoin infrastructure instantly. Our platform handles the heavy lifting—security, compliance, and banking connections—so our customers can move money globally in minutes. The Opportunity Cybrid is expanding rapidly and looking for a Senior Data Engineer to define and build the data foundation that powers our next chapter. This is an opportunity to architect a financial data platform, set standards for governance and quality, and make AI a first‑class collaborator in decision making. You’ll build cutting‑edge infrastructure, solve complex technical challenges, and shape the future of global payments. What You’ll Do Define and implement Cybrid’s data engineering strategy, setting up scalable architecture, governance, and technical standards. Build and maintain robust ETL/ELT pipelines integrating data from microservices and external systems. Develop a financial data platform and warehouse to unify transaction data for analytics and reporting. Implement real‑time, event‑driven data processing pipelines to power compliance, operations, and AI‑augmented business intelligence. Ensure regulatory compliance with strong data quality, governance, lineage, and security practices. Partner with Sales, Finance, Risk, and Compliance to design AI‑augmented workflows utilizing the data platform. Build the infrastructure that makes AI safe and useful on financial data: retrieval layers, vector stores, semantic data catalogs, and human‑in‑the‑loop review patterns. Own and evolve Cybrid’s BI and self‑serve analytics layer: build semantic models, dashboards,



and access patterns that let all departments pull trusted data without going through engineering. What You Bring Required Skills & Experience 7+ years of hands‑on data engineering experience. Prior experience with financial services data, crypto, or blockchain integrations. Expertise in SQL, PostgreSQL, and modern data pipeline frameworks (Airflow, Temporal, Prefect, dbt, etc.). Proven experience designing and scaling data warehouses and real‑time streaming architectures for change data capture (CDC). Robust background in cloud‑based data platforms (AWS, GCP, or Azure). Knowledge of data modelling best practices in finance. Knowledge of data quality, governance, and compliance frameworks for sensitive financial data. Comfort using AI as a daily collaborator in your own work (code generation, query authoring, schema design, documentation) and an interest in scaling that practice across a team. Nice to Have Prior experience in fintech or regulated industries. Familiarity with modern data stack tools (dbt, Fivetran, Sigma, Looker, Tableau). Familiarity with dlt for designing managed batch data pipelines. Experience with Kafka for real‑time data pipelines and change data capture upserts. Exposure to machine learning pipelines, MLOps, or AI‑assisted data workflows. Practical experience integrating AI/LLM workflows into data platforms—RAG over warehouses, semantic data catalogs, agent‑driven analytics, or AI‑assisted data quality. Strong knowledge of data security, privacy, and regulatory compliance (e.G., GDPR, PII). Experience building AI agents that operate against financial systems (reconciliation, classification, anomaly detection) with a human‑in‑the‑loop pattern. About The Role This role backfills an existing position.



Preference will be given to candidates based in Toronto or Ottawa, though strong Canadians in other locations are welcome. The base salary range is CAD $145,000 – $185,000, determined by experience, skills, and unique strengths you bring to the team. The Process Our interview process is transparent, efficient, and thorough, moving from an initial HR alignment call through a hiring manager deep dive and cross‑functional stakeholder reviews to ensure we find the perfect balance of technical expertise and culture fit. Pre‑Screen Interview with a member of our Talent team (Virtual) Hiring Manager Interview (Virtual) Technical Interview (Virtual) Culture Interview (Virtual) Founder Interview/Final Interview (On‑site in Toronto or Ottawa) Why Join Cybrid Build with Fintech pioneers and create products that move millions of people worldwide. High‑velocity career growth: own your domain and take on real responsibilities. Equity ownership: Series‑A VC‑backed company providing meaningful equity stakes. Comprehensive wellness benefits: company‑paid medical, dental, and vision; employee‑paid LTDcoverage; curated wellness perks.Flexible time off: unlimited vacation and sick days. Invested in your future: RRSP matching in Canada and 401(k) matching in the USA. HSA or LSA spending account: $1,000 allocated your way. Best‑in‑class equipment: every team member receives a MacBook. Inclusive Team & Hiring Process We are committed to building an inclusive team. We welcome people of all backgrounds, regardless of race, gender, age, religion, identity, or anything else that makes you you. If you need accommodations during the interview process, let us know and we’ll be happy to offer them. Our team is also here to answer any questions you might have about interviewing, onboarding, or how we work together as a growing startup. As part of the hiring process, the selected candidate will be required to complete a background check. Employment with Cybrid is conditional upon successfully completing this step. #J-18808-Ljbffr

📌 Senior Data Engineer - C$145,000 - C$185,000 A Year (Toronto)
🏢 Cybrid
📍 Toronto