Distinguished Data Engineer - Enterprise Data Technology

Distinguished Data Engineer role focused on leading enterprise data architecture and performance optimization across Databricks and Snowflake. The engineer will provide technical leadership for agentic workflows and help evolve the platform toward predictive, automated operations using AI/ML.

• Lead design and implementation of highly scalable, fault-tolerant, cost-effective data architectures
• Drive performance engineering and optimization for large-scale data ingestion and processing across Databricks, Snowflake, AWS data pipeline
• Provide technical leadership for design, development, testing and deployment of agentic workflows
• Help accelerate adoption of engineering best practices and evangelize capabilities
• Operate as a trusted advisor and shape use cases and implementations

Own and implement scalable, fault-tolerant, cost-effective data architectures integrating Databricks and Snowflake for complex processing and warehousing/ETL. Drive performance engineering for AWS-based data ingestion and processing and lead development/testing/deployment of agentic workflows tied to AI/ML operations within the Data Operations Center (DOC).

The ideal candidate is a senior-to-distinguished data engineering leader with deep hands-on experience integrating Databricks and Snowflake to build highly scalable, fault-tolerant, and cost-effective enterprise data architectures. They have strong performance engineering experience for large-scale data ingestion and processing and can provide technical leadership for AI/ML and agentic workflow deployments aligned to business goals.