Staff Engineer - Data Platform

This role sits at the core of a fast-scaling data organization powering global payment infrastructure used by leading international brands. You will design and evolve the data platform that enables reliable, real-time visibility across high-volume financial transactions spanning multiple countries and payment methods. Working at staff level, you will combine deep hands-on engineering with architectural leadership, shaping how data is modeled, processed, and consumed across the company. The environment is highly technical, modern, and fast-moving, with a strong emphasis on streaming systems, data reliability, and observability. You will partner closely with product, engineering, and finance teams to translate complex business needs into scalable data solutions. This is a high-impact role where your work directly influences payment success, fraud prevention, and business intelligence at global scale. You will also play a key role in defining engineering standards and elevating the overall data maturity of the organization. Accountabilities

You will take ownership of the architecture, reliability, and evolution of a high-scale data platform while contributing directly to its most critical components.

• Define and evolve the overall data platform architecture, driving end-to-end design and delivery of complex data initiatives.
• Build and optimize scalable, low-latency data pipelines processing high-volume payment and transaction data in real time.
• Establish engineering standards across data modeling, testing, observability, documentation, and system reliability.
• Ensure platform robustness through SLAs, monitoring, incident response, and proactive data quality management.
• Design and implement data models supporting fraud detection, analytics, regulatory reporting, and payment optimization use cases.
• Collaborate with cross-functional teams to translate business requirements into robust and scalable data solutions.
• Mentor engineers and contribute to raising technical excellence through reviews, knowledge sharing, and leadership.
• Champion AI-assisted engineering practices and automation in data workflows and quality systems.

You bring deep technical expertise in data systems, combined with strong architectural thinking and leadership experience in complex environments.

• 8+ years of experience in data engineering or software engineering, including at least 2+ years in a staff or principal-level role.
• Proven experience designing and operating large-scale data platforms (batch, streaming, or hybrid architectures).
• Strong hands-on expertise with tools such as Spark, Flink, Kafka, StarRocks or equivalent technologies.
• Advanced proficiency in Python and SQL, with comfort across multiple engineering paradigms.
• Solid understanding of data modeling approaches such as dimensional modeling, Data Vault, or lakehouse architectures.
• Experience with cloud data platforms (AWS, GCP, or Azure) and modern data infrastructure.
• Strong knowledge of data governance, quality, observability, and reliability engineering practices.
• Ability to lead technical initiatives and set engineering standards without formal authority.
• Fluent professional English communication skills.
• Bonus: experience in fintech or payments, dbt, data mesh concepts, or ML/feature store infrastructure.

• Competitive compensation package with equity opportunities.
• Fully remote work with flexibility to work from anywhere.
• Home office budget to set up your workspace.
• Provided work equipment to support productivity.
• Stock options participation in the company's growth.
• Global health coverage depending on location.
• Flexible time off policy.
• Access to learning programs, including language and professional development courses.
• Strong emphasis on autonomy, ownership, and high-impact engineering work.