Sr. Data Ops Engineer

Details

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.
• Incident Response: Serve as a primary responder for production data incidents, quickly diagnosing root causes, implementing fixes, and ensuring data integrity.
• Monitoring and Alerting: Design, implement, and maintain monitoring, logging, and alerting systems for all production data pipelines and infrastructure.
• Pipeline Management: Manage, deploy, and maintain data and integrations pipelines and APIs.
• Performance Optimization: Continuously identify and implement optimizations to improve the speed, scalability, and efficiency of data processing jobs and API performance.
• Data Quality: Develop and enforce data validation and quality checks within the pipelines to minimize errors and inconsistencies in production data.
• Infrastructure: Collaborate with DevOps teams on managing the underlying infrastructure (AWS components) that hosts the data platform.
• Documentation: Maintain comprehensive and up-to-date documentation for all operational procedures, pipeline architectures, and troubleshooting runbooks.
• Communicate incident status and SLA reports to management.
• Develop & deploy data pipelines, backend ingestion or integration jobs to support minor enhancements and bug fixes.
• Work with data from a variety of sources including but not limited to: CRM data, Product data, Marketing data, Order flow data, Support ticket volume data, Finance data etc.
• 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.
• A Bachelor’s degree in computer science, data engineering, data science, information technology, or equivalent engineering program.
• 5+ years of experience in a Data Engineering, Data Operations, or SRE role supporting production data environments & user support on data issues.
• Must have SQL experience to perform data analysis
• Experience with the following:
• Python or similar scripting language
• Exposure to ETL tools such as Fivetran, DBT, Workato or equivalent.
• API: Exposure to python based API frameworks, API management tools.
• RDBMS: MySQL, AWS RDS/Aurora MySQL, PostgreSQL, Oracle or equivalent.
• Experience with at least one major cloud provider (AWS, GCP, or Azure)
• Data warehouse: Databricks, Google Big Query, AWS Redshift, Snowflake or equivalent.
• CI/CD, DevOps tools and practices.
• Python or similar scripting language
• Exposure to ETL tools such as Fivetran, DBT, Workato or equivalent.
• API: Exposure to python based API frameworks, API management tools.
• RDBMS: MySQL, AWS RDS/Aurora MySQL, PostgreSQL, Oracle or equivalent.
• Experience with at least one major cloud provider (AWS, GCP, or Azure)
• Data warehouse: Databricks, Google Big Query, AWS Redshift, Snowflake or equivalent.
• CI/CD, DevOps tools and practices.
• Problem-Solving: Excellent analytical and troubleshooting skills, with the ability to navigate complex distributed systems.
• Comfortable in working with business users to assist with incidents and communicate proactively.
• Engage directly with internal cross-functional stakeholders to understand their data challenges and provide targeted solutions.
• A self-starter, motivated, responsible, innovative and technology-driven person who performs well both solo and as a team member.
• A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non technical audiences.
• Logging and Monitoring: One or more of Splunk, DataDog, AWS Cloudwatch or equivalent.
• AWS Serverless: AWS API Gateway, Lambda, S3, SNS, SQS, SecretsManager.