Staff Data Platform Engineer

BetterUp is a company dedicated to human transformation and is seeking a Staff Data Platform Engineer to craft robust, scalable data systems that will impact the lives of workers globally. The role involves architecting, building, and maintaining data systems, while collaborating with various stakeholders to unlock data enablement and support AI-driven product innovation.

Responsibilities:

• Architect, build, and maintain data systems that are delivering on end customer value
• Centralize and standardize data collection, data transformation and analysis, data storage, and data serving approaches and processes
• Support our ML / GenAI teams and functionality with platform capabilities for data delivery, processing, and infrastructure
• Support our reporting and analytics teams in delivering both internal and customer-facing business insights
• Stay current with emerging technologies and trends in a fast-evolving tech nology ecosystem
• Operationally managing our data infrastructure, vendors, tooling, and processes
• Set technical direction for how the data platform evolves to support AI-driven product capabilities over a 1–2 year horizon
• Establish standards and best practices for data infrastructure, tooling, and AI-augmented workflows that other engineering teams adopt
• Mentor and influence engineers across the organization on data systems architecture and AI-augmented engineering practices
• Evaluate emerging AI and data tooling, and drive adoption of the highest-impact ones across the platform

Requirements:

• Architect, build, and maintain data systems that are delivering on end customer value
• Centralize and standardize data collection, data transformation and analysis, data storage, and data serving approaches and processes
• Support our ML / GenAI teams and functionality with platform capabilities for data delivery, processing, and infrastructure
• Support our reporting and analytics teams in delivering both internal and customer-facing business insights
• Stay current with emerging technologies and trends in a fast-evolving technology ecosystem
• Operationally managing our data infrastructure, vendors, tooling, and processes
• Set technical direction for how the data platform evolves to support AI-driven product capabilities over a 1–2 year horizon
• Establish standards and best practices for data infrastructure, tooling, and AI-augmented workflows that other engineering teams adopt
• Mentor and influence engineers across the organization on data systems architecture and AI-augmented engineering practices
• Evaluate emerging AI and data tooling, and drive adoption of the highest-impact ones across the platform
• 7+ years of experience in data platform engineering, data infrastructure, or related technical roles
• Strong programming background (e.g. Python)
• Operational maturity (e.g. CI/CD systems, Infrastructure as Code, Kubernetes, monitoring, distributed systems, security and privacy best practices, etc.)
• Experience in building and maintaining analytics stacks (e.g. Snowflake, dbt, Looker)
• Running GenAI / ML systems in production (e.g. MLOps tooling, vector search, embedding stores, feature engineering at scale, etc.)
• Architecting data systems (e.g. Airflow, Kafka, general system design)