Staff Data Scientist & Platform Architect

Hidden Road; Chicago (IL); Hybrid; USD 196,000 - 245,000; Full time

Benefits offered by this job

Competitive salary

Equity

Comprehensive benefits

Professional development

Job summary

Ripple is seeking a Staff Data Scientist and Engineer to lead the data platform team, delivering scalable, reliable cloud-based data services across portfolios. You will mentor engineers, drive architecture decisions, and advance analytics capabilities within a fast-paced, on-site/hybrid work environment.

You will collaborate with product managers, solution teams, and stakeholders to evolve the data platform, employ modern data and analytics tooling, and ensure operational excellence across the

Qualifications

• Proven leadership in data/platform teams.
• Deep experience with distributed data systems and ETL processes.
• Strong communication and cross-functional collaboration skills.
• Hands-on approach with data engineering and software practices.

Responsibilities

• Lead platform data team to build scalable, robust data platform for portfolios.
• Collaborate with solution teams and product managers on cloud-based data solutions.
• Decide on architecture, design, and delivery of systems.
• Mentor engineers and promote engineering excellence and agile practices.
• Drive on-call rotation and ownership under YBIYRI model.
• Improve operations, processes, and cross-department workflows.
• Engage with customers and partners to align technical solutions with business goals.
• Ensure quality, security, and architectural standards across projects.

Skills

Leadership

Data engineering

Agile

Mentoring

Communication

Tools

Databricks

SQL

Python

PowerShell

C#/.NET

SQL Server

PostgreSQL

Data Lake/Lakehouse

Qlik

Zoho Analytics

Azure PaaS

Izenda

SSRS

AWS Data Services

Job description

Ripple is seeking a Staff Data Scientist and Engineer to lead the data platform team, delivering scalable, reliable cloud-based data services across portfolios. You will mentor engineers, drive architecture decisions, and advance analytics capabilities within a fast-paced, on-site/hybrid work environment.

You will collaborate with product managers, solution teams, and stakeholders to evolve the data platform, employ modern data and analytics tooling, and ensure operational excellence across the