Your opportunity
Do you love the transformative impact data can have on a business? Are you motivated to push for results and overcome all obstacles? 

Then we have a role for you. At New Relic, data engineering teams build data products for analytics, billing and research. We need a hands on data engineering manager who brings passion for data quality, code quality, and SLAs. Someone with the vision to imagine what a future state should be and the drive to make it happen. 

You will enable a cross-functional team of engineers to create best-in-class data products, while maintaining our evolving environment. 

What you'll do
  • 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 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 (i.e. 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
This role requires
  • BS/MS degree in Computer Science or equivalent
  • 10+ years of experience in data management, distributed data storage, and data warehousing technologies
  • Hands-on experience and proficiency in Complex SQL queries, Python programming, Data Structures, and Data modeling (Star, Snowflake, OWT, and Galaxy schemas)
  • Proven track record with the following:
  • EDW: Bigquery or snowflake or Redshift
  • Job scheduling and orchestration: Airflow or Astronomer.io
  • Data transformation framework: DBT
Bonus points if you have
  • Supporting Dimensional Data Modeling for Data Warehousing
Is a Remote Job?
Hybrid (Remote with required office time)

New Relic helps engineers and developers do their best work every day — using data, not opinions — at every stage of the software lifecycle. The world’s best engineering teams rely on New Relic to...

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