DESCRIPTION

The AWS Data Center Bridge (DC Bridge) team is seeking an experienced Sr. Data Engineer (DE) to design and implement advanced analytics infrastructure that unites multiple AWS internal software products. This role will work closely with Business Intelligence Engineers (BIE), Software Development Engineers (SDE) and Product teams to ensure robust data and infrastructure support for evaluating and enhancing DC Bridge software products. DC Bridge is responsible for custom software that ensures safe, secure, sustainable, and efficient processes for technicians globally.

AWS offerings are constantly innovating and evolving. To keep our data centers running smoothly, our software services require high-quality, impactful, data to guide decision making. This high velocity, forward looking, environment creates large opportunities for innovation, creativity, and exploring new technologies. As a Sr. DE with DC Bridge, you will be a technical leader responsible for designing, building, and maintaining large-scale data processing systems. You also be a strong mentor for junior engineers setting a high quality bar and ensuring best practices.

A successful Sr. DE for DC Bridge will have strong technical and communication skills. They will be knowledgeable with AWS offerings, knowing which tools to leverage for long-term scale. They will be confident in handling detailed conversations with technical teams, working closely with BIEs, and connecting with others across the AWS data community. A successful DC Bridge Sr. DE will also excel at navigating ambiguity, diving deep, and solving problems.


Key job responsibilities
- Design and Build Infrastructure: Architect, construct, and maintain scalable data pipelines and ETL processes using AWS technologies to support business intelligence, analytics, and machine learning initiatives.
- Lead Architectural Decisions: Guide data infrastructure projects to ensure optimal performance, scalability, and cost-efficiency. Stay abreast of emerging technologies to enhance data engineering capabilities.
- Ensure Data Quality: Implement data quality controls, monitoring, and alerting systems to maintain data integrity, accuracy, and consistency.
- Optimize Systems: Enhance existing data systems and resolve complex data-related issues.
- Mentor and Lead: Provide technical guidance and mentorship to junior engineers through design and code reviews, adherence to coding standards.
- Promote Best Practices: Drive data engineering best practices across the organization, contribute to software design reviews, and establish data governance policies and procedures.


About the team
About AWS

Diverse Experiences
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