Staff Engineer — Data Platform

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.

Requirements

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.

Benefits

• 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.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

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