Sr. Manager, Data Engineering
New
C
CarrotHealthcare
United States (Remote)Full-TimeManager
Salary170,000 - 210,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 8-10+ years of experience in data engineering or a closely related field, including 3-5+ years leading and managing data or software engineers.
- Required Skills
- AWSPythonSQLETLSnowflakeAirflowdbt
Requirements
- 8-10+ years of experience in data engineering or a closely related field.
- 3-5+ years leading and managing data or software engineers.
- 5+ years of advanced SQL experience in production environments.
- 5+ years of Python development experience in production environments.
- Strong hands-on experience designing, building, and maintaining end-to-end ETL/ELT pipelines.
- Proficiency with cloud-based data platforms such as Snowflake and AWS.
- Experience with modern ingestion, transformation, and orchestration tools (e.g., Fivetran, dbt, Prefect, Airflow).
- Strong understanding of relational modeling, warehouse design principles, version control (Git), and CI/CD.
- Demonstrated ability to define technical strategy while remaining capable of direct technical execution.
- Excellent written and verbal communication skills.
- Knowledge of data governance, security best practices, and compliance protocols.
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.
- 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.
- Translate business and analytics needs into a clear, prioritized engineering roadmap.
- Evaluate and influence build vs. buy decisions, vendor selection, and tool adoption.
View Full Description & ApplyYou'll be redirected to the employer's site
