Software Engineer, Data Platform

About the Company

Profound is the marketing platform for the AI era. Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we provide brands the intelligence to see how AI represents them and the Agents to act on it.

Responsibilities

• Design and build platform infrastructure that supports machine learning, analytics, and software engineers
• Develop tools and frameworks for data ingestion, transformation, quality, and observability
• Architect scalable, reliable systems using Snowflake, Clickhouse, AWS, dbt, and Dagster
• Build governance, access control, and data quality systems
• Enable MLOps by creating infrastructure that supports model development and productionization
• Drive technical decisions around platform architecture and tool selection
• Collaborate with product, engineering, and data teams to deliver impactful solutions

Requirements

• Proven experience building platforms for engineers and data scientists
• Experience designing and operating large-scale distributed data systems
• Expertise with analytics and lakehouse technologies including ClickHouse, Tinybird, Snowflake, or Iceberg
• Strong cloud experience with AWS, GCP, or Azure
• Experience with data governance, reliability, and secure data operations
• Experience with or interest in MLOps and supporting machine learning workflows
• Strong problem-solving skills in a fast-paced environment