Job DescriptionAltaGas - Specialist, Platform EngineeringIn this hands-on operational leadership role, you will help ensure our Microsoft data, AI, automation, and low-code platforms are reliable, secure, scalable, and ready for continued growth. You will lead service performance, platform enhancements, vendor accountability, capacity and cost visibility, and continuous improvement across Microsoft Fabric, Power Platform, Power BI, Power Pages, Microsoft 365 Copilot, Copilot Studio, AI agents, automation solutions, and related Azure data and AI services.
This is an opportunity for a self-starter who enjoys creating structure, solving complex operational challenges, and driving issues through to resolution while helping AltaGas prepare for the next generation of enterprise AI capabilities.
You Will:- Lead day-to-day operational performance across Microsoft Fabric, Power Platform, Power BI, Power Pages, Microsoft 365 Copilot, Copilot Studio, AI agents, automations, and supporting Azure data and AI services.
- Establish and continuously improve runbooks, support models, escalation paths, service ownership, production-readiness requirements, monitoring, and operational controls.
- Coordinate incidents, problems, service requests, defects, changes, releases, environments, capacity, lifecycle risks, and technical debt across the platform portfolio.
- Develop, maintain, and optimize Microsoft Fabric ingestion, transformation, and orchestration workloads, including Python notebooks and Data Factory pipelines, while supporting secure enterprise integrations using Fabric connectors and middleware such as CData.
- Implement data validation, logging, monitoring, error handling, and recovery processes, investigating failures and addressing data quality and performance issues.
- Lead operational relationships with system integrators, managed service providers, and platform support partners, measuring performance against SLAs, delivery dates, budgets, quality standards, and remediation commitments.
- Own the intake, prioritization, estimation, scheduling, tracking, and closure of platform enhancements, including contracted hours, consumption forecasts, backlog health, delivery metrics, and business outcomes.
- Partner with Architecture, Cybersecurity, Privacy, Data Governance, AI Governance, and Risk teams to ensure platforms and solutions meet enterprise requirements for access, security, data protection, monitoring, lifecycle management, and Responsible AI.
- Develop dashboards and executive reporting covering SLA performance, incidents, defects, backlog health, capacity, consumption, utilization, costs, risks, and improvement opportunities.
- Use root-cause and trend analysis to reduce recurring incidents, improve reliability, manage technical debt, optimize costs, and recommend changes to vendor scope, service levels, staffing, platform configuration, and investment priorities.
- Develop sustainable operating models and reusable operational patterns for MCP servers, enterprise connectors, agentic AI solutions, AI-enabled workflows, and emerging Microsoft data and AI capabilities.
You Have:- 7+ years of experience in enterprise platform engineering, application sustainment, managed services, service delivery, cloud operations, data platforms, or a related field.
- Demonstrated experience managing system integrators, managed service providers, vendors, or outsourced delivery teams, including accountability for SLAs, milestones, budgets, delivery commitments, and quality.
- Strong working knowledge of Microsoft cloud technologies, with hands-on experience across several of the following: Microsoft Fabric, Power Platform, Power BI, Power Pages, Azure data services, Microsoft 365 Copilot, and Copilot Studio.
- Experience with operational practices such as incident, problem, change, release, service request, capacity, environment, and lifecycle management.
- Experience managing enhancement backlogs, contracted hours, estimates, delivery metrics, financial tracking, resource consumption, and service reporting.
- The ability to interpret operational data, identify performance gaps, challenge assumptions constructively, and translate findings into practical corrective actions.
- Strong stakeholder management and executive communication skills, including confidence escalating issues and holding partners accountable while maintaining productive relationships.
- A self-directed, organized, and outcome-focused approach, with strong judgment, follow-through, and comfort working in an evolving technology environment.
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