Key skills
Amazon RedshiftAWSKafkaMachine LearningAnalyticsRedshiftLambdaS3Event StreamingCommunicationCollaboration
About this role
Role Overview
- Build & execute event-driven data architecture on AWS
- Write code, build pipelines, optimize queries
- Implement and manage a modern data stack
- Establish and enforce robust data governance, quality, and observability practices
- Collaborate with product, engineering, and business teams to unlock data value
- Enable advanced analytics, real-time dashboards, and machine learning capabilities
- Foster a culture of engineering excellence and improvement
- Mentor team members into strong data engineers
Requirements
- 5+ years of experience in data architecture
- Proven track record of designing and building scalable, production-grade data systems in a fintech or high-volume transactional environment
- Deep, hands-on expertise with the AWS data ecosystem, including Aurora, Redshift, S3, Lambda
- Experience with event-driven architecture and practical experience (Kafka, event streaming)
- Strong understanding of financial data and regulatory compliance (PCI-DSS, GDPR)
- Ability to mentor a team and make pragmatic technical decisions
- Communication of complex architectural concepts to both technical and non-technical audiences
- Thrive in high-ownership environments
Tech Stack
- Amazon Redshift
- AWS
- Kafka
Benefits
- Comprehensive compensation package
- A competitive salary (depending on what you bring)
- Flexible hours
- Hybrid work options
- Private health insurance
- Paid time off
- Tools & space to thrive
- Top-of-the-line Apple gear
- A workspace designed for focus and collaboration
- A dedicated Learning & Development budget.
- Ownership, impact, and growth
- Celebrated wins, opportunities to grow, and a culture where voices are heard