The opportunity
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform.
What you'll do
Lead the design and development of robust data pipelines to ingest,: aggregate, and index diverse data sources into our organization's data warehouse.
Spearhead the development of a cutting-edge data warehousing platform,: ensuring it meets SOC2 security and compliance requirements.
Collaborate closely with data analytics to ensure the data platform: effectively supports reporting and analyzing key business metrics.
Partner with the data science and machine learning team to build scalable: capabilities for insight generation and leveraging LLMs.
Mentor and coach engineers on the data team, fostering a culture of data: excellence and innovation throughout the organization.
+ years of experience architecting and implementing large-scale enterprise data solutions.
What they're looking for
- + years of proficient experience in modern data platforms such as Databricks,: Snowflake, and Redshift, with a strong understanding of their architectural principles.
- + years of demonstrated expertise in designing and optimizing high-volume, real-time, and batch ETL pipelines.
- + years of experience in coaching and mentoring team members to foster: professional growth and development, focusing on cultivating a growth mindset through constructive feedback and support.
- Proven track record of thriving in startup environments, with a proactive: attitude and a passion for driving impactful change. See yourself as a partner with the business with the shared goal of moving the business forward
