This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Data Ops Engineer based in Canada.
This role sits at the heart of a high-scale data and AI ecosystem, ensuring that critical data pipelines, integrations, and analytics platforms remain reliable, performant, and production-ready. You will be responsible for maintaining the health and stability of complex distributed data systems that power real-time insights across multiple business domains. Working in a collaborative, engineering-driven environment, you will partner closely with DevOps, data engineering, and business stakeholders to ensure data quality, observability, and operational excellence. The role combines strong engineering fundamentals with hands-on operational ownership of production systems. You will directly impact how data is ingested, processed, and delivered across the organization, enabling smarter decisions at scale. This is a highly visible role where reliability, performance, and precision are essential.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Data Ops Engineer based in Canada.
This role sits at the heart of a high-scale data and AI ecosystem, ensuring that critical data pipelines, integrations, and analytics platforms remain reliable, performant, and production-ready. You will be responsible for maintaining the health and stability of complex distributed data systems that power real-time insights across multiple business domains. Working in a collaborative, engineering-driven environment, you will partner closely with DevOps, data engineering, and business stakeholders to ensure data quality, observability, and operational excellence. The role combines strong engineering fundamentals with hands-on operational ownership of production systems. You will directly impact how data is ingested, processed, and delivered across the organization, enabling smarter decisions at scale. This is a highly visible role where reliability, performance, and precision are essential.
Accountabilities:
- Own the stability, performance, and reliability of production data pipelines, APIs, and data warehousing systems across multiple business domains.
- Serve as a primary responder for production incidents, diagnosing root causes, restoring services, and ensuring data integrity.
- Design, implement, and maintain monitoring, logging, and alerting systems to ensure full observability of data platforms.
- Manage, deploy, and optimize ETL/ELT pipelines and data integration workflows across cloud-based environments.
- Implement and enforce data quality, validation, and governance practices to ensure trustworthy downstream analytics.
- Collaborate with DevOps and infrastructure teams to support scalable AWS-based data platforms.
- Continuously improve performance, scalability, and efficiency of data processing systems and backend services.
- Maintain clear documentation, runbooks, and operational procedures for production systems and incident response.
- 5+ years of experience in Data Engineering, Data Operations, or SRE roles supporting production-scale data systems.
- Strong SQL skills for data analysis, troubleshooting, and validation.
- Proficiency in Python or similar scripting languages for automation and pipeline development.
- Hands-on experience with ETL tools such as Fivetran, dbt, Workato, or similar platforms.
- Strong knowledge of relational databases such as PostgreSQL, MySQL, or cloud RDBMS solutions.
- Experience with at least one major cloud provider (AWS, GCP, or Azure), ideally including serverless services.
- Familiarity with data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
- Strong understanding of CI/CD practices, DevOps workflows, and production monitoring tools.
- Experience with observability tools such as Datadog, Splunk, or CloudWatch.
- Strong troubleshooting mindset with the ability to manage complex distributed systems under pressure.
- Excellent communication skills and ability to work with technical and non-technical stakeholders in incident contexts.
- Competitive compensation package with base salary aligned to Canadian market standards.
- Equity opportunities and performance-based incentives (where applicable).
- Fully remote work flexibility within Canada.
- Comprehensive health, dental, and vision coverage.
- Paid parental leave and family support benefits.
- Professional development support and learning opportunities.
- Strong focus on engineering excellence and modern data technologies.
- Inclusive, collaborative, and high-ownership engineering culture.
- Wellness and mental health support programs.
- Opportunity to work on large-scale, real-world data systems with meaningful impact.