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. 


What you'll do
  • 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 
This role requires

  • 8+ years of experience in BI and Data Warehousing.
  • Minimum 3 years of experience leading data teams in a high-volume environment
  • 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
  • Development experience in at least one object-oriented language (Python,R,Scala, etc.).
  • Comfortable with SQL and related tooling


Bonus points if you have
  • Data observability experience
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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