Description

• Own end-to-end architecture across modern cloud data platforms
• Design and build scalable ingestion, transformation, and data modeling frameworks
• Lead Snowflake architecture including performance tuning, storage optimization, workload scaling, and cost management
• Build API and event-driven ingestion frameworks for real-time and batch processing
• Design reliable orchestration and pipeline monitoring strategies
• Establish enterprise-grade governance, security, access controls, and data quality frameworks
• Support AI/ML and advanced analytics initiatives through AI-ready data architecture
• Help define modern engineering standards, reusable frameworks, and platform best practices

Strong Match If You Have

• 8–12+ years of Data Engineering / Data Architecture experience
• Strong hands-on expertise with Python, Snowflake, SQL, and dbt
• Experience building modern cloud-native data platforms from the ground up
• Deep experience with data modeling, transformation strategies, orchestration, and pipeline scalability
• Strong understanding of Snowflake optimization, compute/storage strategy, and query performance tuning
• Experience with API-driven and event-driven architectures
• Experience handling large-scale enterprise data environments
• Ability to move between architecture discussions and hands-on technical execution comfortably
• Strong communication and problem-solving skills in fast-moving environments

Big Plus

• Experience supporting AI/ML or LLM-related data ecosystems
• Experience with real-time streaming architectures
• Financial services or regulated industry experience
• Exposure to platform engineering or reusable data framework design
• Experience with observability and data reliability tooling

Key Skills

Education

Bachelor's degree