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Mid LevelFull-timeRustAWSGCPAzureMachine LearningAIMLData
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Software Engineer, Data Platform to design, build, and scale the infrastructure that powers data across our organization. This role focuses on creating platforms and tools that support data scientists, analytics engineers, and machine learning engineers.
Key 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 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
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
- ✓Strong cloud experience with AWS, GCP, or Azure
- ✓Experience with data governance, reliability, and secure data operations
- ✓Excellent communication skills with the ability to influence across engineering and product teams
- ✓Experience with or interest in MLOps and supporting machine learning workflows in production
- ✓Strong problem-solving skills and comfort operating in a fast-paced environment
- ✓Motivated by access to rare and interesting AI data based on real human interactions with large language models
- ✓Excited by the opportunity to own and shape Profound’s data platform at an early stage
- ✓Interested in working on meaningful problems at the intersection of AI and marketing
- ✓Comfortable in a fast-moving culture with autonomy, trust, and room to grow
- ✓Drawn to competitive compensation and meaningful equity
