Define data contracts and API standards for reliable, versioned data consumption across downstream consumers
AWS Infrastructure & Pipeline Engineering
Architect and optimize AWS infrastructure: EC2, Lambda, S3, Redshift, EMR — balancing performance, reliability, and cost
Design high-throughput, fault-tolerant pipelines supporting analysts, data scientists, and AI agents at global scale
Lead implementation of CDC and event-driven architectures for sub-minute data availability with end-to-end observability
Drive infrastructure-as-code best practices using CDK, establishing reusable patterns and deployment standards
Technical Leadership & Operational Excellence
Mentor Data Engineer I team members, conducting code reviews and elevating engineering standards
Own operational health of critical pipelines, driving root cause analysis and long-term prevention strategies
Author and maintain technical design documents, influencing architectural decisions across the team
Lead peak readiness efforts and incident response, ensuring system reliability during high-traffic events
Drive automation initiatives that reduce operational toil and enable non-linear scaling
3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Bachelor's degree
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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