Data Engineering Manager
4 weeks ago
About the Role
We are seeking a highly skilled Data Engineering Manager to join our team at New Relic, Inc. As a Data Engineering Manager, you will be responsible for leading a team of data engineers to design, build, and maintain scalable data pipelines and architectures.
Key Responsibilities
- Proactively drive the vision for BI and Enterprise Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
- Lead a team of highly qualified and experienced data engineers and grow the team through active mentorship and other growth opportunities.
- Lead the building of scalable, fault-tolerant pipelines with built-in data quality checks that transform, load, and curate data from various internal and external systems.
- Provide leadership to cross-functional initiatives and projects.
- Influence architecture design and decisions.
- Build cross-functional relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on those needs.
- Improve engineering processes and cross-team collaboration.
- Ruthlessly prioritize work to align with company priorities.
- Provide thought leadership to grow and evolve the DE function and implementation of SDLC best practices in building internal-facing data products by staying up-to-date with industry trends, emerging technologies, and best practices in data engineering.
- Minimum 4 years of experience with dbt, Airflow, and Snowflake.
- Experience with Apache Iceberg tables.
- Experience and knowledge of building data-lakes in AWS Spark/Glue, Athena, including data modeling, data quality best practices, and self-service tooling.
- Experience mentoring data professionals from junior to senior levels.
- Demonstrated success leading cross-functional initiatives.
- Passionate about data quality, code quality, SLAs, and continuous improvement.
- Deep understanding of data system architecture.
- Deep understanding of ETL/ELT patterns.
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