Senior Data Engineer building Azure pipelines, data platforms, and ML workflows for Manulife’s retirement operations. Supporting trusted analytics across North American teams.
About the role
- Data Operations Engineer role at Samsara overseeing production data platform stability and performance through incident response and monitoring. Aiming to enhance data quality and availability for business intelligence.
Responsibilities
- Serve as a primary responder for production data incidents, quickly diagnosing root causes, implementing fixes, and ensuring data integrity.
- Design, implement, and maintain monitoring, logging, and alerting systems for all production data pipelines and infrastructure.
- Manage, deploy, and maintain data and integrations pipelines and APIs.
- Continuously identify and implement optimizations to improve the speed, scalability, and efficiency of data processing jobs and API performance.
- Develop and enforce data validation and quality checks within the pipelines to minimize errors and inconsistencies in production data.
- Collaborate with DevOps teams on managing the underlying infrastructure (AWS components) that hosts the data platform.
- 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.
Requirements
- 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 Python or similar scripting language.
- Exposure to ETL tools such as Fivetran, DBT, Workato or equivalent.
- 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.
Benefits
- Flexible working model
- Professional development stipend
- Comprehensive health and parental leave plans
- Initial RSU grant with no vesting cliff
- Ongoing refresh opportunities tied to performance
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