Remote Sr. Manager, Data Engineering & BI Strategy

Devconnectplatform

United States

Hybrid

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. You will guide architecture while also writing production-grade Python and SQL code to build and optimize ETL/ELT pipelines and data warehouses.

You will mentor engineers and partner with product and security teams to ensure compliant, reliable data infrastructure. You will shape multi-year architectural direction, drive data governance, and own the roadmap for analytics data platforms in a

Qualifications

  • 8-10+ years in data engineering or related field.
  • 3-5+ years leading data or software engineers.
  • 5+ years SQL and 5+ years Python in production.
  • Experience designing end-to-end ETL/ELT pipelines.

Responsibilities

  • 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 for analytics, BI, and reporting.
  • Establish standards for reliability, observability, testing, and performance across data systems.
  • Drive data quality, lineage, and governance with proper documentation.
  • Partner with backend product teams to co-design production DB schemas for analytics.
  • Lead, mentor, and develop a team of data engineers.
  • Own team planning, capacity, and delivery across multiple work streams.
  • Translate business needs into a prioritized engineering roadmap with measurable outcomes.
  • Collaborate with Product, Engineering, Analytics, Security, and Legal to align priorities.
  • Evaluate build-vs-buy decisions and tool adoption across data platforms.

Skills

SQL
Python
ETL/ELT
Cloud platforms
Snowflake
AWS
dbt
Prefect
Airflow
Leadership

Tools

Git

Job description

Carrot is seeking a Sr. Manager, Data Engineering to lead our BI data engineering function as it scales. You will guide architecture while also writing production-grade Python and SQL code to build and optimize ETL/ELT pipelines and data warehouses.

You will mentor engineers and partner with product and security teams to ensure compliant, reliable data infrastructure. You will shape multi-year architectural direction, drive data governance, and own the roadmap for analytics data platforms in a

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