Senior Manager, Data Engineering

Stack

Responsibilities

• ▹Own the technical vision and roadmap for BI data engineering, aligned 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
• ▹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

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

Nice to have

• ▹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)

Soft skills

What we offer

• ▹Competitive compensation, equity and comprehensive benefits
• ▹Flexible Time Off and a culture that encourages recharging
• ▹Comprehensive parental leave and family-forming benefits
• ▹A collaborative, inclusive, values-driven culture
• ▹Base salary of $170,000 to $210,000, depending on confirmed skills and experience
• ▹Health and wellness benefits, retirement savings plans, short- and long-term incentives

About the company

Carrot is the leading global fertility and family care platform, trusted by more than a thousand multinational employers, health plans and health systems to support millions of members across 195 countries. It orchestrates clinical guidance around each member's life context.