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Key skills for this role
Own the day-to-day operational health of enterprise data platforms (e.g., Snowflake, orchestration tools, CI/CD pipelines, BI platforms).
Enforce change management and release controls for production data systems.
Ensure high availability, performance, and reliability of data pipelines and analytical workloads.
Establish and track SLAs, SLOs, and operational KPIs for data services.
Lead the implementation and continuous improvement of Data Operations and CI/CD practices for data pipelines, transformations, and platform changes.
Standardize deployment, rollback, and release management processes for data assets.
Ensure automation-first approaches across testing, deployment, and monitoring.
Implement proactive monitoring, alerting, and observability for data pipelines and platforms.
Lead incident response, root-cause analysis, and post-incident reviews for data-related outages or quality issues.
Drive continuous improvement to reduce operational risk and manual intervention.
Lead, coach, and develop a team of Data Operations engineers and developers.
Set clear priorities, performance expectations, and development plans.
Foster a culture of operational excellence, accountability, and continuous learning.
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Partner with Data Engineering and Analytics teams to embed data quality checks, validation, and automated testing into pipelines.
Ensure operational controls align with data governance, security, and compliance requirements.
Support audit, risk, and regulatory inquiries related to data operations.
Collaborate with data engineering and architecture team to design scalable, cost-efficient, and resilient data platform architectures.
Coordinate data refreshes and environment management for non-production environments (e.g., TST/UAT).
Drive performance tuning, cost optimization, and capacity planning for Snowflake and related platforms.
Evaluate and onboard new tooling to enhance Data Operations maturity.
Establish and maintain operational runbooks, standards, and documentation for platforms, pipelines, and processes.
Ensure transparency and knowledge sharing across teams.
Partner with Data Engineering, Analytics, Governance, Security, and Technology teams to align on priorities and delivery.
Act as the primary operational point of contact for data platform reliability and service health.
We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.
Canadian privately held asset and wealth management company serving individuals, families, institutions and high-net-worth clients.
Visit company websiteJobs and hiring trendsUSD 69500-119500 yearly / year
Full-time
Senior · 7+ years experience
Onsite
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