> Markdown version of [/jobs/ext/2640329-manager-ii-data-platform](https://www.wearedevelopers.com/jobs/ext/2640329-manager-ii-data-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager II, Data Platform - **Company:** Samsara Inc. - **Location:** Los Angeles, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $154,700.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Data Infrastructure, Python (Programming Language), Simple Data Format, Software Systems, Apache Spark, Amazon Relational Database Service, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Flink, AWS Fargate, Presto, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b92f82095e8fe24d ## About the Role * BS, MS, or PhD in Computer Science or other related technical degree. * 2+ years of technical people management experience. * 5+ years of relevant technical experience with data infrastructure. * Experience building and deploying large-scale data platform systems with feedback loops for continuous improvement. * Comfortable leading infrastructure development in collaboration with cross functional teams, scientists, and researchers. * A solid understanding of agentic development practices., * MS or PhD in Computer Science or other technical degree. * Experience with state-of-art data platform technologies such as: * + AWS (S3 and RDS, SQS, DMS, Dynamo, etc.). + Spark a must, Flink, Trino/Presto a plus. + Data lake file formats such as Delta, Hudi, or Iceberg. + Python/Scala. + Container based orchestration services such as Kubernetes, ECS, Fargate, etc. + Infrastructure as Code tools (e.g., Terraform). + Go is a plus. + Data orchestration system experience is a plus (e.g., Airflow, Dagster). * Proven track record for innovation and delivering value to customers (both internal and external). * Demonstrated ability to build cross-functional consensus and drive cross-team collaboration. ## Description The Samsara Data Platform team owns and develops the analytic platform across Samsara. As a Manager II of Data Platform, you will build and lead teams that maintain our data lake and surrounding infrastructure. You will also be responsible for meeting new business needs, including expanding the platform as the company grows (both in size and geographic coverage), privacy and security needs, and customer-facing feature developments., * Lead a team of data-focused engineers to build and maintain a stable, scalable, and modern data platform capable of handling petabytes of data. * Help drive long-term planning and establish scalable processes for execution. * Actively contribute to building the data roadmap for Samsara, including being a thought leader in our AI transformation. * Stay connected to novel technological developments that suit Samsara's needs. * 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. * Hire, develop and lead an inclusive, engaged, and high-performing international team. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)