About the role:

The Samsara Data Services team builds core infrastructure to enable the business to make data-driven products and decisions. As a Senior Data Platform Engineer, you will contribute to a scalable and reliable data platform to meet the data needs of everyone at Samsara - engineers, data scientists, product managers, and more.

You will work on Big Data cloud infrastructure that enables Samsara to make critical business conclusions and enables us to explore new product directions. You will:

• Contribute to the development of our large scale Data Platform
• Build tools (e.g orchestration frameworks, metadata catalogs) that democratize the use of data for the whole business, including software engineers, data engineers, and data scientists
• Contribute to strategic initiatives to lower costs and ensure data security
• Lift a broad set of production data into a centralized data lake, and scale that data storage layer as the company grows
• Optimize our compute layer for reliability and performance (Spark/Databricks on EC2)

This role can be office-based or fully remote in the US and Canada.

You should apply if:

• You want to make a difference: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You build for scale: Samsara already has more than 2.3 million IoT devices deployed globally with customers that depend on our technology and look forward to the new solutions brought about by our engineers’ innovation. You may work on a mature product that is operating at a large scale already or a product in the early stages that is still being developed.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You crave technical ownership: The development of our Connected Operations Cloud technology has only just begun and offers a range of technical challenges that will sharpen your skills and provide opportunities for rapid career growth.

Click here to learn about what we value at Samsara. 

In this role, you will: 

• Develop software to reliably ingest vast amounts of data into our data lake
• Explore new infrastructure needed to support the growing needs of our data platform
• Design, scope, and build libraries and data management tooling for other software engineers, product managers and data scientists to use the data platform effectively
• Expand our ability to stream data into the data lake to support near real time access
• Be responsible for the uptime, reliability, and monitoring of our data platform
• Research, recommend, and implement new tools to help our teams leverage data more easily (e.g., expanding our orchestration system)
• Uplevel team members and cross functional colleagues on topics like data best practices, AWS, Spark, etc. 
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
• 5+ years experience on building/maintaining a large scale production-grade data platform (including a Data Lake) for data scientists, analysts, and engineers
• Strong programming and software engineering skills (experience with Python, Go, Scala, or SQL is a must)
• Expertise working with Spark
• Experience deploying and managing data orchestration systems (e.g Airflow, Flyte, Prefect, Dagster)
• AWS knowledge and expertise (S3, Lambda, SQS, Kinesis)

An ideal candidate also has:

• An advanced degree in a related field (Masters or PhD)
• 8+ years experience on data platform focused teams
• Experience with Databricks
• Familiarity using Terraform