Solution Architect – Data Engineering (Snowflake & AWS)
Core
Design scalable, secure, and business-focused data platforms and analytics solutions using Snowflake and AWS.
Role type
Senior Solution Architect (Data Engineering & Cloud)
Builds
End-to-end data platforms, modern Data Lake/Lakehouse architectures, and cloud-native solutions.
Domain
Cloud Data Engineering & Analytics
Deliverable
production ML models | product features | infrastructure
Required skills
Snowflake, AWS (S3, Glue, Redshift, EMR, Lambda, Kinesis), Data Engineering, Data Modeling, Cloud Migration, Data Governance, Security Architecture, Technical Leadership
Preferred skills
Data Mesh, Data Fabric, Legacy Modernization, Pre-sales support
Technologies
Snowflake, Amazon S3, AWS Glue, Redshift, EMR, Lake Formation, Lambda, IAM, Kinesis
Responsibilities
Define end-to-end architectures for data platforms and analytics; Design modern Data Lake, Lakehouse, and Data Fabric architectures; Lead architects, engineers, and cross-functional delivery teams; Establish architecture standards and governance frameworks.
Seniority
Senior, hands-on IC with leadership
