Senior Software Engineer - Data Platform

Senior Software Engineer
- Data Platform

Remote
- Canada

(for internal use only)

Samsara is looking for a Senior Software Engineer I to join our Data Platform team, which owns and develops the core analytical platform across Samsara. This team builds and maintains the infrastructure that powers Samsara’s data lake, distributed compute platform, and the systems that move data from our production data stores into our lakehouse.

As a Senior Software Engineer on Data Platform, you will design, build, and operate reliable, scalable, and secure infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. You will work on the foundational systems that enable engineers, data scientists, analysts, and product teams across Samsara to build customer-facing features, train models, develop operational insights, and support the company’s long-term AI and analytics roadmap.

This is a specialized software engineering role focused on data infrastructure. You will work on systems such as Spark and Databricks infrastructure, Delta Lake on S3, data replication from primary data stores such as RDS and DynamoDB, orchestration and metadata services, internal data libraries, and infrastructure tooling across the big data ecosystem.

This role is not an analytics or business data engineering role. If your experience is primarily focused on SQL modeling, BI dashboards, ETL tools, or building business-facing data marts, this role is likely not the right fit. The ideal candidate is a software engineer with deep experience building and operating production data platforms, distributed systems, or large-scale ingestion infrastructure.

This is a remote position open to candidates residing in Canada. Relocation assistance will not be provided for this role.

• Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
• Build and maintain reliable, scalable, and modern data platform infrastructure capable of handling petabytes of data across Samsara’s analytics, AI, product, and operational use cases.
• Improve the reliability, observability, scalability, security, and developer experience of Samsara’s Spark and Databricks-based data processing platform.
• Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams across Samsara move, process, discover, and access data safely and efficiently.
• Work on foundational data lake and lakehouse technologies, including Delta Lake on S3, data catalogs, metadata services, orchestration systems, and platform automation.
• Collaborate closely with infrastructure, product engineering, data science, analytics, security, and data engineering teams to understand platform needs and deliver durable, scalable solutions.
• Stay connected to modern data platform technologies and help shape Samsara’s long-term data infrastructure roadmap, including support for AI, privacy, security, global scale, and customer-facing data products.
• 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.

• 4+ years of professional software engineering experience in production environments.
• 4+ years of experience building or maintaining large-scale production data infrastructure, data platforms, distributed systems, or data lake systems.
• Strong experience with Apache Spark or similar distributed data processing systems.
• Experience operating production infrastructure in AWS, including services such as S3, RDS, DynamoDB, SQS, Kinesis, Lambda, or similar.
• Experience designing, building, and operating reliable systems with strong ownership of scalability, observability, security, and operational excellence.
• Proficiency in at least one production programming language such as Go, Python, Scala, or Java.
• Ability to collaborate effectively with cross-functional partners, including software engineers, data…