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Software Engineer, Data Platform

profound • United State
Visa Sponsorship
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Design, build, and scale the data infrastructure that powers analytics, experimentation, and ML-powered features across Profound's AI marketing platform. Develop tools and frameworks for data ingestion, transformation, quality, and observability using Snowflake, ClickHouse, AWS, dbt, and Dagster. Enable data scientists, analytics engineers, and ML engineers with robust platform design while driving technical decisions around architecture and data patterns.

Key Highlights
Build scalable data platform infrastructure supporting ML, analytics, and software engineering teams
Architect systems using Snowflake, ClickHouse, AWS, dbt, and Dagster
Enable MLOps by creating infrastructure for model development and productionization
Shape Profound's data platform at an early growth stage with autonomy and impact
On-site role in NYC with visa sponsorship available
Key Responsibilities
Design and build platform infrastructure that supports machine learning, 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
Technical Skills Required
Amazon Web Services Snowflake Data Orchestration
Benefits & Perks
Equity compensation
Visa sponsorship
Full range of benefits and perks
Competitive salary: $140,000 - $260,000 (NYC)

Job Description

Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.
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