Data Engineering Manager

SmarterDx is a Smarter Technologies company that builds clinical AI to transform how hospitals translate care into payment. The Data Engineering Manager will lead a high-performing data engineering team, architect scalable data solutions, and drive innovation in data pipeline capabilities to enhance clinical AI applications.

Responsibilities:

• Lead, coach, and develop a team of senior data engineers with a focus on technical innovation, platform capabilities, and engineering excellence
• Contribute to the data engineering product roadmap by designing and implementing new data pipeline architectures, patterns, and reusable frameworks
• Architect scalable data solutions using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to enable advanced analytics and ML capabilities
• Establish development standards and best practices including code reviews, testing frameworks, CI/CD pipelines, and documentation standards
• Develop sophisticated data models and transformations using advanced dbt patterns (custom macros, packages, incremental models) to enhance our production pipelines
• Collaborate cross-functionally to help translate business requirements into technical solutions and drive innovation initiatives
• Develop automated data quality frameworks, monitoring solutions, and observability tools to ensure data reliability at scale
• Create developer productivity tools and accelerators that enable the team to deliver features faster with higher quality
• Drive technical design reviews, architectural decisions, and technology evaluations to ensure platform scalability and maintainability

Requirements:

• 7+ years of data engineering experience, including leadership of engineers and technical projects (architecture, design, delivery)
• Deep expertise with modern data stack: advanced dbt development, Snowflake optimization, Python, and SQL at scale
• Strong expertise with AWS cloud architecture skills: hands-on experience in serverless and infrastructure-as-code patterns
• Proven track record building and scaling data platforms that support analytics, ML, and product features
• Developer excellence mindset with expertise in Git, CI/CD, testing, code reviews, and agile development practices
• Demonstrated ability to drive technical innovation while balancing technical debt, performance optimization, and feature delivery
• Excellent communication and technical leadership skills: comfortable driving architectural decisions and mentoring senior engineers
• Experience in healthcare datasets with understanding of the inherent contextual and relational complexities within healthcare data
• Experience at a scale-up or rapid-growth technology company
• Advanced Snowflake features expertise (streams, tasks, dynamic tables, data sharing)
• Infrastructure-as-code proficiency (AWS CDK, CloudFormation, Terraform)
• ML engineering experience: feature stores, model deployment, MLOps practices
• Healthcare interoperability knowledge (HL7, FHIR, CCD/C-CDA)
• Certifications: Snowflake (SnowPro Advanced), AWS (Data Analytics or Solutions Architect Professional), dbt, or healthcare data (CHDA/RHIA)
• Experience building data mesh architectures or domain-driven data platforms