Senior Manager, Data Engineering – BI Platform Lead

Carrot

United States

On-site

USD 170,000 - 210,000

Full time

14 days+
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Job summary

Carrot is seeking a Sr. Manager, Data Engineering to lead our BI data engineering function as it scales to meet the organization and client needs. This senior player/coach role combines strategic leadership with hands-on engineering to shape Carrot's data infrastructure.

You will set technical vision, drive cross-functional data strategy, and ensure our data systems are reliable, scalable, and secure, partnering with Product, Engineering, Analytics, Security, and Legal to align on priorities.

Qualifications

  • 8-10+ years of experience in data engineering or related field.
  • 3-5+ years leading data or software engineers.
  • 5+ years of advanced SQL and 5+ years of Python in production.

Responsibilities

  • Own the technical vision and roadmap for BI data engineering.
  • Design, build, and review scalable ETL/ELT pipelines and orchestration systems, contributing hands-on production code.
  • Architect data warehouse models to support analytics, self-service BI, and reporting.
  • Establish standards for reliability, observability, testing, and performance across data systems.
  • Drive data quality, lineage, and governance including documentation and metadata practices.
  • Partner with Product, Engineering, Analytics, Security, and Legal to align on priorities and remove blockers.
  • Lead and develop a team of data engineers and manage capacity planning and delivery across workstreams.

Skills

Data engineering
Team leadership
SQL
Python
ETL/ELT
Cloud platforms

Tools

Snowflake
AWS
Fivetran
dbt
Prefect
Airflow

Job description

Carrot is seeking a Sr. Manager, Data Engineering to lead our BI data engineering function as it scales to meet the organization and client needs. This senior player/coach role combines strategic leadership with hands-on engineering to shape Carrot's data infrastructure.

You will set technical vision, drive cross-functional data strategy, and ensure our data systems are reliable, scalable, and secure, partnering with Product, Engineering, Analytics, Security, and Legal to align on priorities.

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