Job Description

• Bangalore, India

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