Description

Own end-to-end architecture for modern cloud data platforms, focusing on scalable ingestion, transformation, and modeling.

This role is hybrid.

Responsibilities

• Design and build scalable ingestion, transformation, and data modeling frameworks.
• Architect Snowflake solutions, managing performance tuning, storage optimization, workload scaling, and cost management.
• Build API and event-driven ingestion frameworks for real-time and batch processing.
• Establish enterprise-grade governance, security, access controls, and data quality frameworks.
• Support AI/ML and advanced analytics initiatives through AI-ready data architecture.

Required Skills

• 8–12+ years of Data Engineering or 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 understanding of data modeling, transformation strategies, orchestration, and pipeline scalability.
• Proven ability to tune Snowflake compute/storage strategy and query performance.
• Experience with API-driven and event-driven architectures in large-scale enterprise environments.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience supporting AI/ML or LLM-related data ecosystems.
• Background in financial services or regulated industries.
• Experience with real-time streaming architectures and observability tooling.

Key Skills

Education

Bachelor's degree