Lead the technical direction for real-time streaming and analytics team
Own the architecture behind movement of financial and behavioral data at scale
Partner with tech leaders across data engineering and product teams
Mentor engineers and review designs
Shape architectural design decisions and advance DataOps tools
Requirements
Deep expertise in designing and operating large-scale data platforms
Strong understanding of defining enterprise architecture, standards, and integration patterns for batch streaming, APIs, and event-driven architectures
Grasp of data governance, metadata, lineage, security, and privacy by design
Fluency across the modern data stack (e.g., Snowflake, Kafka, dbt, cloud infrastructure)