Senior Data Platform Engineer

Samsara-posted 3 months ago
$125,545 - $168,800/Yr
Full-time • Senior
1,001-5,000 employees
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The Integrations, Data Engineering and AI (IDEA) team within Samsara’s Business Technology organization is looking for a Senior Data Platform Engineer to join our team. We enable various teams at Samsara to leverage GenAI and data to glean insights and make data-driven decisions by delivering a reliable data platform and trustworthy data and analytics. We are a team that are passionate about leveraging quality data and AI to deliver a great customer experience. Our team promotes an agile, collaborative, supportive environment where diverse thinking, innovative design, and experimentation is welcomed and encouraged.

  • Administer and monitor Databricks workspaces and underlying AWS Infra: develop platform admin tools and capabilities to effectively administer, monitor, track and troubleshoot various platform resources: (clusters, catalogs, users, groups, databases, storage and security).
  • Act as the primary Databricks SME, assisting and guiding teams on platform features and best practices.
  • Collaborate with data engineers, analysts, and data scientists to operationalize and optimize workflows and data pipelines.
  • Oversee data-engineering dev ecosystem, including dev-tooling, CI/CD pipelines, and monitoring frameworks.
  • Own implementation and management of IaaC (Terraform, CloudFormation) and CI/CD automation for Databricks and AWS resources.
  • Ensure security, high availability, disaster recovery, and compliance across data services.
  • Incorporate DevOps best practices including automated testing, deployment, observability, and monitoring.
  • Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions.
  • Collaborate with engineers, managers, and vendor representatives in evaluating new features and solutions. Lead rapid prototyping and proof-of-concepts to evaluate for performance, cost, security, scalability, observability.
  • Provide mentorship to junior team members, and provide technical guidance, training, and knowledge-sharing across teams.
  • Bachelor's or Master's degree in Computer Sciences, Software Engineering, Electrical Engineering, Computer Engineering, or related discipline.
  • 10+ years experience in a Software Engineering, Platform Engineering, Data Engineering, DevOps/DataOps or similar technical role, including at least 2+ years experience in data infrastructure or platform focused role.
  • Experience building, delivery and administering large-scale production-grade data platforms and services to data engineering, business analyst and data-science teams.
  • Solid knowledge of Databricks features and administration, including Unity Catalog, cluster management, security, conducting troubleshooting and root-cause analysis, and performance optimization.
  • Experience and familiarity with AWS services and Cloud Infrastructure provisioning, management, monitoring, and security (e.g., S3, IAM, RDS, Lambda, API-Gateway, VPC, EC2, ECS/EKS).
  • Strong knowledge of SQL and Python, and hands-on data-engineering experience in designing and developing data pipelines and ETL routines from a variety of sources (SaaS corporate systems, APIs, RDBMS).
  • Skilled with change-data capture, incremental and batch loading techniques. Experienced in troubleshooting underlying issues and translating them into technical solutions.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Experience delivering and managing Databricks and AWS Infra for 100s of users.
  • Experience as a technical lead.
  • Knowledge of DevOps tools and practices: GitHub/GitLab, CI/CD systems, Terraform, monitoring/logging tools (e.g., Datadog, CloudWatch).
  • Experience implementing robust data governance and security measures to ensure data integrity and compliance.
  • Competitive total compensation package.
  • Employee-led remote and flexible working.
  • Health benefits.
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