Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices, defining data access and quality standards and using AI to modernize analytics platforms? Do you enjoy leading engineers to innovate at speed to deliver scalable analytics solutions? If so, then the Amazon Risk and Compliance Solutions (RCS) Org has an exciting opportunity for you.

As a Data Engineering Manager, you will be responsible for modernizing one of Amazon’s largest data warehouses serving business intelligence, AI and product management customers globally. Your role will involve designing, implementing, and supporting scalable solutions for data management, data pipeline orchestration, ETL, data modelling and data visualization with the best tools available in AWS – including Redshift, Glue, S3, IAM, Cloudwatch, and SageMaker studio. You should have excellent business and communication skills to collaborate with business partners, product teams, engineering teams and technical leaders to gather requirements, design data infrastructure, and build data pipelines and datasets to meet business needs.


Key job responsibilities
- Own technical delivery and team leadership for development and maintenance of scalable ETL pipelines, semantic layers, and dashboard data models.
- Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with business goals.
- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
- Drive team growth through mentoring, coaching, and career development.
- Adopt and drive the GenAI platform, data governance, schema standardization, and data contracts where applicable.