Sr. Manager, Data Engineering

Carrot is a global fertility and family care platform providing intelligent clinical guidance and support. The company is seeking a Sr. Manager, Data Engineering to lead its Business Intelligence data engineering function, set technical strategy, build scalable data infrastructure, and manage a high-performing team. The role combines strategic leadership with hands-on development of data pipelines, warehouse models, governance practices, and analytics capabilities.

Responsibilities:

• Own the technical vision and roadmap for BI data engineering, aligning it with company strategy and analytics needs
• Design, build, and review scalable ETL/ELT pipelines and workflow orchestration systems, contributing hands-on production code in Python and SQL
• Architect and optimize data warehouse models that support advanced analytics, self-service BI, and operational reporting
• Establish and enforce standards for reliability, observability, testing, and performance across all data systems
• Drive improvements in data quality, lineage, and governance , including documentation and metadata practices
• Partner with backend product engineering teams to co-design production database schemas and event models with analytics and reporting in mind
• Lead, mentor, and develop a team of data engineers , fostering a culture of technical excellence, ownership, and collaboration
• Own team-level planning and execution , including capacity planning, prioritization, and delivery across concurrent workstreams
• Translate ambiguous business and analytics needs into a clear, prioritized engineering roadmap with measurable outcomes
• Partner closely with Product, Engineering, Analytics, Security, and Legal to align on priorities, ensure compliance, and remove cross-functional blockers
• Evaluate and influence build vs. buy decisions , vendor selection, and tool adoption across data platforms, ingestion, and transformation
• Elevated the maturity and consistency of data engineering practices across the BI function, with clear standards for reliability, testing, and observability
• Built and retained a high-performing data engineering team recognized as a trusted partner to stakeholders across the business
• Delivered a prioritized data engineering roadmap aligned with company strategy, with measurable progress on scalability and platform modernization
• Strengthened the accuracy, recency, and security of enterprise data, meeting the requirements of regulated healthcare contexts
• Enabled advanced analytics, self-service BI, and data products that drive meaningful business outcomes and influence Carrot's long-term data architecture strategy

Requirements:

• • 8-10+ years of experience in data engineering or a closely related field, including 3-5+ years leading and managing data or software engineers
• • 5+ years of advanced SQL and 5+ years of Python development experience in production environments, including unit and integration testing
• • Strong, hands-on experience designing, building, and maintaining end-to-end ETL/ELT pipelines in production
• • Proficiency with cloud-based data platforms (e.g., Snowflake, AWS) and modern ingestion, transformation, and orchestration tools (e.g., Fivetran, dbt, Prefect, Airflow)
• • Strong understanding of relational modeling and warehouse design principles , plus version control (Git preferred) and modern CI/CD practices
• • Demonstrated ability to define technical strategy and standards while remaining capable of direct technical execution
• • Excellent written and verbal communication skills , with strong knowledge of data governance, security best practices, and compliance protocols
• • Direct experience with Carrot's current tech stack : Snowflake, Fivetran, dbt, Prefect, and AWS
• • Experience with enterprise BI platforms and enabling self-service analytics
• • Experience integrating batch and event-streaming or real-time ingestion systems
• • Prior experience leading data engineering teams in a startup or high-growth environment , ideally including managing other leads or senior-level ICs
• • Healthcare industry experience , including familiarity with healthcare data standards (HL7, FHIR) and privacy regulations (HIPAA, GDPR)