Member of Technical Staff, Data Platform

The role

You will architect scalable platforms and develop tools, services, and frameworks to enable data, analytics, and machine learning teams. Your work will span backend engineering, cloud infrastructure, and production ML workflows to build the foundation for analytics and AI-powered features.

What you will do

• Design and build platform infrastructure that supports engineering and data teams and powers customer-facing features
• Develop tools and frameworks for data ingestion, transformation, quality, and observability
• Build backend services, APIs, and shared libraries
• Architect scalable, reliable data systems using technologies such as Snowflake, ClickHouse, dbt, and Dagster
• Build and maintain the cloud infrastructure and deployment workflows using AWS and infrastructure as code
• Build governance, access control, and privacy protections into the platform
• Work with data scientists and machine learning engineers to turn research workflows into reliable production systems
• Own platform components from design through deployment and ongoing operation
• Drive technical decisions around platform architecture, tool selection, and data patterns

Required qualifications

• Proven experience building data platforms or backend systems that support data-intensive products and workflows
• Strong software engineering skills in Python and SQL
• Experience writing maintainable, tested production code
• Experience designing and operating distributed data systems, including pipelines, storage, and the services that use them
• Experience with analytical databases and data processing technologies such as ClickHouse, Snowflake, or similar systems
• Strong cloud experience with AWS or another major cloud provider
• Familiarity with infrastructure as code, containers, and deployment automation
• Experience with data governance, access control, and secure data operations
• Comfortable investigating problems across application code, databases, and infrastructure
• Excellent communication skills
• Judgment to make practical tradeoffs across reliability, performance, cost, and delivery

Nice to have

• Experience with or interest in supporting machine learning and LLM workflows in production
• Curious about unfamiliar parts of the stack and willing to learn what’s needed to solve a problem

Benefits

• Base salary
• Equity
• Full range of benefits and perks

Before you apply

• We are happy to support visa sponsorship for qualified international candidates

About the company

Profound is an AI marketing platform used by the Fortune 500 and innovators. It provides data on what people ask AI and uses an AI Marketer to automate research, content, and reporting.