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. \n

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. Requirements: 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. Benefits: 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.

\n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1