Principal Data Engineer: ITA Data Strategy & Platforms

Amazon; Seattle (WA); On-site; USD 184,000 - 249,000; Full time

Job summary

Amazon in Seattle is seeking a Principal Data Engineer to lead high-scope technical projects within Intelligent Talent Acquisition (ITA) Data. You will define data strategy, design new services, and mentor engineers across ITA, collaborating with multiple stakeholders within Amazon Talent Acquisition and PxT organizations.

The role emphasizes hands-on development, architectural oversight, and scalable data solutions to unify transactional and analytical data across services.

Qualifications

• Design, implementation, or consulting experience with distributed applications or related field.
• Data engineering experience or related field.

Responsibilities

• Lead the development of the technical strategy for the ITA organization with a specific focus on how to bring both transactional and analytical data together.
• Advise on overall data strategy for PxT Consumer.
• Lead designing new services and complex features within existing services.
• Lead capability reviews of ITA data infrastructure identifying improvements in existing services and/or identifying critical gaps in the data ecosystem.
• Design and implement the interfaces with partner organizations including, but not limited to: Hands on development on organization level critical projects.
• Develop, coach and mentor engineers across ITA to up-skill the organization.
• Lead technical design review meetings for data services across People Experience Technology Consumer.

Skills

Distributed applications

Data engineering

Education

Bachelor’s Degree in a technical field

Job description

Amazon in Seattle is seeking a Principal Data Engineer to lead high-scope technical projects within Intelligent Talent Acquisition (ITA) Data. You will define data strategy, design new services, and mentor engineers across ITA, collaborating with multiple stakeholders within Amazon Talent Acquisition and PxT organizations.

The role emphasizes hands-on development, architectural oversight, and scalable data solutions to unify transactional and analytical data across services.