Senior Data & Analytics Engineer (Amazon QuickSight)

Role overview

Senior Data & Analytics Engineer (Amazon QuickSight) responsible for designing, building, and supporting data pipelines and analytics datasets for enterprise reporting (Finance, Technology, Operations). The role ingests data from corporate systems, organizes it in a cloud data lake, and enables reliable reporting through Amazon QuickSight.

Responsibilities

• Build and support automated data ingestion pipelines using SnapLogic and/or AWS-native capabilities to integrate systems like Clarity, Jira, Workday, Salesforce, and ServiceNow.
• Manage reporting analytical datasets in Amazon S3 using Apache Iceberg (schema management and performance optimization).
• Create and maintain reporting-ready views/queries using Amazon Athena and AWS Glue metadata.
• Enable and support Amazon QuickSight reporting: dataset design, access controls, and troubleshooting data/performance issues.
• Design and maintain QuickSight-optimized datasets, including SPICE vs. direct query decisions.
• Partner with business stakeholders to translate reporting needs into clear data requirements.
• Monitor pipeline health and data quality; investigate data issues and support recurring reporting cycles.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
• 5–7+ years in data engineering / analytics engineering (or related roles).
• Strong SQL experience building analytical datasets for reporting.
• Hands-on AWS data platform experience: S3, Athena, Glue.
• Experience integrating data from SaaS/enterprise systems via ETL tools such as SnapLogic.
• Experience supporting BI tools: Amazon QuickSight (also Tableau or Power BI).
• Ability to work independently while collaborating effectively with technical and non-technical partners.

Nice to have

• Payment systems / networks & protocols knowledge (e.g., ISO2022, SWIFT, NACHA).
• Experience in highly regulated environments and understanding advanced data security concepts.