Description

Key Responsibilities:

• Design and implement scalable enterprise data architecture solutions using Snowflake and AWS
• Lead cloud data modernization, migration, and transformation initiatives
• Build and optimize data lakes, data warehouses, and enterprise data platforms
• Define and implement data governance, security, and data 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
• Optimize data processing, storage, and analytics performance
• Support enterprise reporting, BI, advanced analytics, and AI/ML initiatives
• Drive best practices for cloud-native data architecture and engineering

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
• Strong understanding of Data Governance, Data Quality, and Data Management
• Experience with Apache Airflow, DBT, and Python
• Experience with Data Warehousing and Data Lake architectures
• Experience leading enterprise-scale cloud data modernization projects
• Strong communication, leadership, and stakeholder management skills

Preferred Skills:

• Experience with real-time and batch data processing
• Experience supporting Analytics, BI, and AI/ML platforms
• AWS and/or Snowflake certifications
• Experience working in large enterprise environments

Key Skills

Education

Any Gradute