Senior Data Engineer II

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role As a Senior Data Engineer II (P50) , you are an experienced data engineer who consistently delivers high‑impact outcomes across both short and long time horizons , leading domains that span multiple services and business areas. You combine deep data engineering expertise with strong business acumen to guide the roadmap and architecture for your area, elevate the team’s overall capabilities, and act as a senior escalation point for technical and operational issues. You spearhead the end‑to‑end data solutions—from ingestion and modeling through quality, observability, and consumption—while mentoring P20/P30 engineers and driving process and automation improvements across the team. This hybrid position requires 3 days per week in our Bangalore office and 2 days working remotely. This position requires working hours in IST. Relocation assistance will not be provided for this role. What you’ll do Lead end‑to‑end data solutions across multiple subject areas and services, from requirements and design through implementation, rollout, and ongoing ownership. Architect, build, and maintain large‑scale, production‑grade data pipelines (batch and/or streaming) using modern data lake and warehouse technologies (e.g., Databricks, Delta, cloud data platforms) and industry‑standard ETL/ELT patterns. Design robust data models and curated “golden” datasets that power analytics, dashboards, and data science use cases, including facts, dimensions, snapshots, and SCDs. Own data quality, reliability, and SLAs for your domains: define contracts, implement validation and monitoring, and drive root‑cause analysis and long‑term fixes for data incidents. Influence team and cross‑functional roadmaps and OKRs by translating business goals into multi‑quarter technical plans, tradeoffs, and investment proposals. Partner closely with cross‑functional teams (e.g., Finance, Sales Ops, RevOps, Product, Data Science & Analytics) to understand requirements and deliver scalable data solutions that unlock insights and automation. Lead incident response and complex technical investigations for your areas, coordinating across teams, driving clear communication, and ensuring durable remediation. Mentor and uplevel other engineers , providing code and design reviews, pairing, and structured feedback to grow the team’s technical mastery and operational excellence. Improve processes, documentation, and tooling for data development, testing, deployment, and observability; standardize best practices across BizTech Data & Integrations. Champion Samsara’s cultural principles —Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team—in how you design systems and collaborate across the company. Minimum qualifications 10+ years of relevant experience in data engineering or closely related roles, with demonstrated impact and career progression. Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or related discipline. Expert-level data engineering skills, including ETL/ELT, data modeling, and working with large-scale, cloud-based data lake/warehouse stacks and modern tooling (e.g., Spark, SQL engines, orchestration frameworks). Strong programming skills in SQL and at least one general-purpose language (e.g., Python), with experience building and maintaining production-grade pipelines and reusable frameworks. Proven experience designing and operating critical data models and curated datasets for analytics, reporting, and/or ML use cases, including performance tuning and cost optimization. Demonstrated experience in AI/ML systems , including building, deploying, or supporting machine learning pipelines, feature engineering workflows, and integrating predictive or generative models into production data systems. Hands-o