Data Integration Engineering Lead

Riskified; New York (NY); Híbrido; USD 165 000 - 175 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully-covered medical, dental, and vis

Equity for all employees

401(k) + matching

Catered lunch and wellness programs

Resumo da oferta

Riskified seeks an experienced Data Integration Engineering leader to head a distributed team responsible for data flows, validation, and automation for client integrations. You will guide endpoints, data pipelines, and automation strategies to improve eCommerce risk intelligence and reduce fraud.

You will collaborate with Operations, Sales, Product, Development, and Data Science to scale tools and processes, including AI-driven workflows.

Qualificações

• 4+ years of experience leading data integrations / data solutions / software engineering teams with a focus on data management.
• 6+ years in professional services / software / data engineering roles.
• 3+ years hands-on with SQL, Python or other data engineering languages.
• Experience with data lakes and data warehouses.
• Experience with QA/QC, validation checks and data integrity monitoring.
• Experience with SaaS solutions and APIs.
• Hands-on experience bringing AI into team ops (LLMs for data validation/onboarding).
• Proven ability to manage multiple projects with competing priorities.
• Comfortable in fast-paced environments with high-stakes timelines.

Responsabilidades

• Lead the team of Data Integration Engineers across the U.S. East Coast and Brazil, focusing on technical excellence and client experience.
• Set and balance the team’s priorities across client commitments, SLAs and business goals.
• Guide integrations for non-standard setups and automate data validation workflows.

Conhecimentos

Leadership

Data engineering

SQL

Python

Data lakes

Data warehouses

QA/QC

APIs

AI in operations

Communication

Project management

E-commerce knowledge

Descrição da oferta de emprego

Riskified seeks an experienced Data Integration Engineering leader to head a distributed team responsible for data flows, validation, and automation for client integrations. You will guide endpoints, data pipelines, and automation strategies to improve eCommerce risk intelligence and reduce fraud.

You will collaborate with Operations, Sales, Product, Development, and Data Science to scale tools and processes, including AI-driven workflows.