Software Engineer, Data Platform

ProfoundNew York City, NY
6h

About The Position

Profound is looking for a Software Engineer, Data Platform to design, build, and scale the infrastructure that powers data across our organization. You will architect scalable platforms, develop tools and frameworks that enable data scientists, analytics and machine learning engineers and build the foundation for analytics, experimentation, and ML-powered features. This is a great opportunity for someone who enjoys building robust systems, solving complex technical challenges, and enabling teams through great platform design.

Requirements

  • Proven experience building platforms for engineers and data scientists in domains such as: product analytics and experimentation, data discovery and catalog, data quality and observability, or governance and access control
  • Experience designing and operating large-scale distributed data systems.
  • Expertise with analytics/lakehouse technologies (ClickHouse, Tinybird, Snowflake, Iceberg).
  • Strong cloud experience (AWS, GCP, or Azure).
  • Experience with data governance, reliability, and secure data operations.
  • Excellent communication skills and ability to influence across engineering and product teams.
  • Experience with or interest in MLOps and supporting ML workflows in production
  • Strong problem-solving skills and comfort with fast-paced, impact-driven execution

Responsibilities

  • Design and build platform infrastructure that supports ML, Analytics, and Software engineers as well as Data Scientists across the company
  • 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 that scale with the organization
  • Enable MLOps by creating infrastructure that supports model development and productionization
  • Drive technical decisions around platform architecture, tool selection, and data patterns
  • Collaborate with product, engineering, and data teams to understand needs and deliver impactful solutions

Benefits

  • Access to some of the most interesting and rare data assets in AI, based on real human interactions with large language models.
  • The chance to own and shape Profound’s data platform at an early stage
  • The opportunity to work on meaningful problems at the intersection of AI and marketing
  • A fast-moving culture with autonomy, trust, and room to grow
  • Competitive compensation and meaningful equity
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