Description

Design and implement scalable enterprise data architecture solutions using Snowflake and AWS, leading cloud data modernization and migration initiatives.

This role is on-site.

Responsibilities

• Build and optimize data lakes, warehouses, and enterprise data platforms on AWS.
• Define and implement data governance, security, and quality standards.
• Design and manage data pipelines and orchestration frameworks using Airflow and DBT.
• Collaborate with business and technical teams to define data strategies and roadmaps.
• Support enterprise reporting, BI, advanced analytics, and AI/ML initiatives.

Required Skills

• 15+ years of experience in Data Architecture and Data Engineering.
• Strong expertise with Snowflake Data Cloud.
• Hands-on experience with AWS services: S3, Glue, EMR, Lambda, Kinesis.
• Experience with Apache Airflow, DBT, and Python.
• Strong understanding of Data Governance, Data Quality, and Data Management.
• Experience with Data Warehousing and Data Lake architectures.
• Experience leading enterprise-scale cloud data modernization projects.

Preferred Skills

• Experience with real-time and batch data processing.
• AWS and/or Snowflake certifications.
• Experience working in large enterprise environments.

Key Skills

Education

Any Gradute