Job Description
The role involves designing, building, and maintaining large-scale data pipelines and models to support analytics, machine learning, and business insights, while leading cross-functional projects and mentoring engineering teams in a cloud-based environment.
Key Responsibilities
- Lead end-to-end data solutions from requirements and design through implementation, rollout, and ownership.
- Architect, build, and maintain large-scale, production-grade data pipelines using modern data lake and warehouse technologies.
- Design robust data models and curated datasets to support analytics, dashboards, and data science applications.
- Own data quality, reliability, and SLAs by defining contracts, implementing validation and monitoring, and resolving data incidents.
- Influence team and cross-functional roadmaps by translating business goals into technical plans and investment proposals.
- Partner with cross-functional teams to understand requirements and deliver scalable data solutions for insights and automation.
- Lead incident response and technical investigations, coordinating across teams for durable remediation.
- Mentor and review code/designs for engineers to enhance team technical skills and operational excellence.
Requirements
- Minimum of 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 a related discipline.
- Expert-level data engineering skills, including ETL/ELT, data modeling, and working with large-scale, cloud-based data lake and warehouse stacks using modern tooling such as 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 machine learning 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-on experience with AI application and agent development, including designing and deploying intelligent agents, workflow automation, or LLM-powered applications with a focus on scalability, observability, and reliability.
- Demonstrated ability to lead multi-stakeholder projects over 2 quarters, managing tradeoffs between technical quality, speed, and business impact.
- Solid knowledge of Databricks features and administration, including Unity Catalog, cluster management, security, troubleshooting, root-cause analysis, and performance optimization.
- Strong communication and collaboration skills, including the ability to produce clear written design documents and effectively communicate with senior stakeholders and cross-functional partners.
- Track record of mentoring and acting as an escalation point for more junior engineers or analysts.
- At least 5 years of experience with Python and SQL.
- Exposure to ETL tools such as Fivetran, DBT, or equivalent.
- Experience with Python-based API frameworks for building and serving data AI pipelines.
- Experience working with RDBMS such as MySQL, AWS RDS Aurora MySQL, PostgreSQL, Oracle, or MS SQL Server.
- Experience with cloud platforms including AWS, Azure, and/or GCP.
- Experience with data warehouses such as Databricks, Google BigQuery, AWS Redshift, Snowflake, or equivalent.
- Experience integrating AI/ML platforms and tooling such as MLflow, feature stores, vector databases, and model serving infrastructure into data ecosystems.
- Familiarity with LLM ecosystems, including prompt engineering, embeddings, vector search, and evaluation frameworks for AI applications.
- Hands-on experience with modern AI developer tools and assistants such as Claude, Cursor, GitHub Copilot, and ChatGPT for development acceleration, code generation, debugging, and workflow automation.
- Experience in SaaS, B2B, or data-heavy product environments, especially where IoT, telemetry, or event-driven data plays a central role.
- Hands-on experience with Databricks or similar Spark-based platforms, Delta Parquet data lakes, and modern data orchestration tools.
- Background working with finance, sales, or revenue operations data, and comfort modeling business processes such as bookings, billings, and pipeline.
- Prior experience driving cross-team data initiatives such as standardizing metrics, centralizing business logic, or implementing shared data governance frameworks.
Benefits & Perks
Above-market total compensation including base salary, performance-based bonus, and equity
Flexible, employee-led remote work model with options for in-office or hybrid work
Comprehensive health and parental leave plans
Professional development stipend
Ready to Apply?
Join Samsara and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
More jobs at Samsara
Senior Web Program Manager
Samsara
NEW
Not specified
Full Time
8h
$116k-195k
Senior Product Marketing Manager, Market and Competitive Intelligence
Samsara
NEW
San Francisco
Full Time
8h
$119k-201k
Staff Software Engineer Cloud Governance Platform
Samsara
NEW
Not specified
Full Time
8h
$162k-290k