Staff Data Platform Engineer - ML/Analytics (Equity)

Slope; New York (NY); On-site; USD 140,000 - 260,000; Full time

Job summary

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 and develop tools for data ingestion, transformation, quality, and observability, enabling data scientists, analytics engineers, and machine learning engineers.

You will work with Snowflake, ClickHouse, AWS, dbt, and Dagster, supporting analytics, experimentation, and ML production.

Qualifications

• Experience building platforms for engineers and data scientists.
• Experience with large-scale distributed data systems.
• Expertise in lakehouse technologies (Snowflake, ClickHouse, Iceberg).
• Strong cloud experience (AWS, GCP, or Azure).
• Experience with data governance, reliability, and secure data operations.
• Excellent communication across engineering and product teams.

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

Skills

Platform for engineers

Distributed data systems

MLOps interest

Cloud experience (AWS/GCP/Azure)

Data governance & observability

Cross-team collaboration

Tools

Snowflake

ClickHouse

dbt

Dagster

Iceberg

Tinybird

Job description

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 and develop tools for data ingestion, transformation, quality, and observability, enabling data scientists, analytics engineers, and machine learning engineers.

You will work with Snowflake, ClickHouse, AWS, dbt, and Dagster, supporting analytics, experimentation, and ML production.