Sr. Business Intelligence Engineer, AWS Compliance & Security Assurance

Amazon • Seattle, WA

19h • Onsite

About The Position

The AWS Security Assurance Engineering (SAE) team's mission is to build and enhance mechanisms which continuously demonstrate that AWS meets and exceeds the high security and compliance bar expected by our customers, regulators, and auditors. We achieve this by proactively engaging service and control owners to identify, monitor, and drive remediation of risks across AWS. Our team builds tools and services that scale these capabilities globally — creating efficiencies for our teams while maintaining transparency for our customers.

We are seeking a Sr Business Intelligence Engineer for our Data Engineering and Analytics team to drive high-impact analytics solutions that support the organizational 10x growth strategy. In this role, you will design and deploy scalable data products and measurement frameworks that enable cross-functional stakeholders to make fast, data-driven decisions at scale. This role requires both strategic vision and hands-on technical execution — distilling complex data insights into actionable strategies and communicating them effectively to both technical and non-technical audiences. The ideal candidate is a self-starter who thrives with autonomy and ambiguity — someone who challenges conventional approaches to analytics and proactively seeks to deeply understand the business to advance its objectives. If you thrive in a dynamic environment that offers startup-like autonomy with enterprise impact, we want to hear from you.

Requirements

• 5+ years of SQL experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with AWS technologies
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience working directly with business stakeholders to translate between data and business needs
• 5+ years of relevant professional experience in business intelligence, data engineering, or analytics engineering

Nice To Haves

• Experience managing, analyzing and communicating results to senior management
• Experience mentoring team members on best practices
• Experience leveraging technology to drive process improvements
• Experience with anomaly detection and automated monitoring frameworks for data products
• Bachelor's degree in a related technical field (e.g., Statistics, Mathematics, Economics, Engineering, etc.)
• Experience in the application of AI technologies to drive operational efficiencies and speed to insights
• Experience using AWS services such as S3, Glue, Redshift, Bedrock, Lambda, Step functions and SageMaker

Responsibilities

• Partner cross-functionally to gather requirements and deliver end-to-end analytics solutions — translating ambiguous business questions into structured analytical approaches, data models, and scalable self-service tools
• Collaborate with Software Development Engineers, Business Intelligence Engineers, Data Engineers, and Data Scientists to transform large, complex datasets into structured, analytics-ready insights that drive business outcomes
• Design, develop, and deploy production-grade data products — from datasets and pipelines to dashboards and measurement frameworks — enforcing mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure consistency, reliability, and reusability at scale
• Drive alignment on metrics definitions, measurement frameworks, taxonomy, and data governance across stakeholders
• Simplify and automate reporting, enabling stakeholders to self-serve at scale
• Leverage AI to deliver practical and sophisticated solutions, pushing beyond conventional analytics approaches
• Mentor and develop junior team members — establishing and driving best analytics practices across the team
• Communicate results, insights, and recommendations across all levels of the organization — from engineering teams to senior leadership — distilling complex findings into clear, actionable narratives tailored to each audience

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior