Lead Data Engineer

Architecture & Development

Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS.
Build scalable, high-performance data pipelines and analytics frameworks supporting enterprise data products.
Drive implementation of multi-cloud architecture leveraging AWS and Azure (Azure Databricks, ADLS Gen2).

Platform Engineering & Integration
Enable seamless integration across Databricks, Snowflake, AWS services, and Azure services.
Build and maintain CI/CD pipelines, automation frameworks, and infrastructure-as-code for data platform provisioning.
Implement secure and governed access patterns including RBAC, service principals, and enterprise identity integration.
Support data platform interoperability across multiple compute engines and cloud providers.

Required Qualifications
8+ years of experience in software engineering / data engineering / platform engineering
Strong hands-on experience with:

Databricks (AWS / Azure)
Snowflake
AWS services (S3, Glue, EMR, IAM, etc.)