Tech Stack

Description

You will lead and scale the data engineering function at Akido, managing a team of engineers, modernizing the data platform, and designing scalable ingestion frameworks to support rapid integration of acquired healthcare data assets. This role is critical for ensuring reliability, observability, and data quality while promoting AI-assisted development across the team.

Requirements

• 8+ years of software or data engineering experience
• 3+ years of engineering leadership experience
• Deep experience with modern data stacks (Snowflake, Airflow, DBT, AWS)
• Experience designing scalable ingestion architectures and schema normalization strategies
• Experience migrating legacy or acquired data pipelines to modern infrastructure
• Strong architectural judgment and production ownership experience
• Proven ability to mentor senior engineers and raise technical standards
• Experience in regulated healthcare or compliance-driven environments is a strong plus
• Strong communication and cross-functional leadership skills

Responsibilities

• Lead and grow a high-performing data engineering team
• Conduct comprehensive assessment of current data platform and lead re-architecture where necessary
• Own platform reliability, observability, and data quality standards
• Design scalable ingestion and schema normalization frameworks to support rapid acquisition integration
• Lead migration of acquired company data pipelines onto Akido’s infrastructure (Snowflake, Airflow, DBT, AWS)
• Establish reusable ingestion templates and migration playbooks for external healthcare data sources
• Promote reusable DBT models, strong layering practices, and self-serve analytics (Sigma)
• Establish and enforce AI-assisted development as a team-wide engineering standard
• Partner closely with product, engineering, analytics, and leadership
• Participate in architectural reviews and code reviews to maintain high technical bar