Amazon Sr Data Engineer Amazon Devices-Demand Planning 

United States, Washington, Bellevue 

965299094

The Amazon Devices-Demand Planning team is seeking a Senior Data Engineer who will serve as a technical leader in designing and implementing robust data architecture solutions. In this role, you will drive the evolution of our data infrastructure, architecting scalable solutions that support critical business analytics and machine learning initiatives. You will lead the development of sophisticated ETL pipelines and data warehousing solutions using AWS technologies including Redshift, S3, Glue, SNS, and Lambda, while ensuring data quality, accessibility, and security.You will be responsible for driving technical strategy, making architectural decisions, and building consensus across teams. Strong communication skills are essential, as you'll be expected to influence technical decisions, mentor team members, and articulate complex technical concepts to diverse stakeholders. The role requires someone who thrives in ambiguous environments, demonstrates excellent judgment in technical trade-offs, and can deliver high-impact solutions with limited guidance in our fast-paced, dynamic business environment.Key job responsibilities
• Lead and define data architecture strategies for Devices Demand Planning, ensuring solutions are scalable, maintainable, and align with long-term business objectives.
• Design, implement, and optimize complex data pipelines and ETL processes, while establishing best practices and standards for data engineering across the team.
• Drive technical decisions and architectural improvements that enhance data quality, accessibility, and performance across multiple systems and teams.
• Proactively identify and resolve systemic data architecture deficiencies, including breaking down large initiatives into parallel workstreams that can be executed by multiple team members.
• Mentor and provide technical guidance to other data engineers, conducting technical assessments and contributing to the professional development of team members.
• Partner with product managers, data scientists, and other stakeholders to translate business requirements into robust technical solutions while maintaining a balance between immediate needs and long-term architectural goals.
• Manage and optimize AWS infrastructure resources (S3, Redshift, Glue, etc.), ensuring operational excellence, cost efficiency, and scalability.
• Drive data governance initiatives, including establishing data security protocols, naming conventions, and documentation standards across the organization.
• Influence and build consensus across teams when implementing cross-functional data solutions and architectural changes.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses