Data Architect for Treasury & Finance Analytics

Stripe; New York (NY); Hybrid; USD 162,000 - 242,000; Full time

Benefits offered by this job

Equity

401(k)

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe is seeking a senior data analytics/data engineering professional to design, build, and own scalable data pipelines and the data infrastructure powering analytics and reporting across the company.

You will translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and deliver actionable business recommendations through rigorous analysis and data storytelling.

Qualifications

• 6+ years of full-time experience in Data Engineering or related analytical role.
• Proficiency in SQL, including complex query optimization and data modeling.
• Proficiency in Python for data pipeline development.
• Experience with distributed data frameworks like Spark to write and debug data pipelines.
• Experience with workflow orchestration tools (Airflow, Flyte, or equivalent).
• Proven ability to design, implement, and maintain production-grade data pipelines and dashboards.
• Good understanding of development processes and best practices like code reviews and testing.
• Ability to clearly communicate results and drive impact with cross-functional partners.
• Experience owning production data products with defined quality standards, testing, and documentation.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade analytics and reporting.
• Leverage AI tools to accelerate pipeline development, data quality automation, reconciliation, and documentation.
• Model and transform raw data into clean, well-documented datasets that serve as the core foundations for decision making.
• Establish and enforce data quality standards through testing, monitoring, and alerting on pipeline health.
• Own data freshness SLAs, operational alerting, and incident response for data domains.
• Partner with Treasury Finance, data scientists/analysts, and engineers to define data requirements and deliver trusted data products.
• Translate business requirements into data architecture decisions and drive data strategy.

Skills

SQL

Python

Spark

Airflow

Data pipelines

Data modeling

Dashboards

Communication

Tools

Spark

Airflow

Flyte

Job description

Stripe is seeking a senior data analytics/data engineering professional to design, build, and own scalable data pipelines and the data infrastructure powering analytics and reporting across the company.

You will translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and deliver actionable business recommendations through rigorous analysis and data storytelling.