Software Engineer (Data Platform) Jobs in USA 2026

Data platform engineering continues to play a central role in enabling analytics, machine learning, and scalable product development. This Software Engineer (Data Platform) opportunity in the United States offers experienced engineers the chance to build foundational infrastructure that supports data-driven decision-making and AI-powered capabilities within a rapidly growing technology company.

About the Role

The Software Engineer (Data Platform) will be responsible for designing, building, and scaling the infrastructure that powers data operations across the organisation. This role focuses on creating reliable platforms and developer tooling that support software engineers, analytics teams, data scientists, and machine learning practitioners.

The successful candidate will contribute to building systems for analytics, experimentation, governance, observability, and machine learning enablement. The position offers significant ownership in shaping platform architecture and establishing scalable engineering practices within a high-growth environment.

About the Hiring Organisation

The opportunity is offered by Profound, a technology company focused on helping brands understand and optimise how they appear across AI-driven search and recommendation experiences. The company develops infrastructure and intelligence tools that help organisations measure and improve visibility across emerging AI platforms and digital experiences.

Job Duties

• Design and build scalable data platform infrastructure supporting engineering and analytics teams.
• Develop tools and frameworks for data ingestion, transformation, observability, and quality assurance.
• Architect and maintain distributed data systems using cloud and modern data technologies.
• Build governance, security, and access control systems across the data ecosystem.
• Enable machine learning operations through scalable infrastructure and deployment workflows.
• Drive platform architecture decisions and establish engineering best practices.
• Support experimentation and analytics capabilities across products.
• Collaborate with engineering, product, and data teams to deliver business impact.
• Improve reliability, performance, and scalability of data services.
• Contribute to long-term platform strategy and technical roadmap development.

Job Requirements

• Strong experience building platforms supporting engineers and data practitioners.
• Experience operating large-scale distributed data systems.
• Hands-on expertise with technologies such as Snowflake, ClickHouse, Iceberg, Tinybird, dbt, or Dagster.
• Strong cloud engineering experience with AWS, GCP, or Azure.
• Understanding of data governance, security, and reliability practices.
• Experience supporting machine learning infrastructure and MLOps workflows.
• Excellent communication and cross-functional collaboration skills.
• Strong system design and technical problem-solving abilities.
• Ability to work effectively in a fast-paced product environment.
• Interest in AI, analytics, and emerging data technologies.

#339966;">#339966;" href="https://www.linkedin.com/jobs/view/software-engineer-data-platform-at-profound-4429404186/" target="_blank" rel="noopener">Click Here to Apply

Conclusion

This Software Engineer (Data Platform) opportunity offers a strong pathway for engineers interested in building the infrastructure behind modern analytics and AI products. With exposure to large-scale data systems, platform ownership, and machine learning enablement, the role provides significant growth potential within an innovative and rapidly evolving technology environment.

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