VP - Senior Data Engineer (Python/Snowflake/Apache Airflow)
Core
Designs, develops, and supports enterprise-scale data platform capabilities using Airflow, dbt, Python, SQL, and cloud-native technologies to deliver scalable, reliable, and high-performance data solutions.
Role type
Senior IC Data Engineer (VP level)
Builds
End-to-end data platforms, pipelines, reusable frameworks, and metadata-driven processing systems
Domain
Financial services / Enterprise Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Apache Airflow, Python, SQL, Snowflake, dbt, Cloud-native architectures, Streaming technologies (Kafka/Snowpipe), Containerization (Docker/Kubernetes), Metadata management, Data quality & governance, CI/CD pipelines
Preferred skills
Agentic AI concepts (MCP, RAG, Vector DBs), Apache Iceberg, SDK/API development, AI-assisted coding tools (Windsurf/Cursor)
Technologies
Apache Airflow, dbt, Python, SQL, Snowflake, Kafka, Snowpipe, Docker, Kubernetes, Azure, AWS, GCP, Apache Iceberg
Responsibilities
Design and optimize core enterprise data platform capabilities including ingestion, transformation, and workflow orchestration; Build and enhance platform capabilities related to metadata management, lineage, and data quality; Lead Proof of Concepts (POCs) and technology evaluations to assess emerging technologies; Provide L2/L3 production support for data platforms and perform root cause analysis; Mentor junior engineers to foster technical excellence
Seniority
Senior, hands-on IC with mentorship responsibilities
