Overview
Engage customer business and technology leaders to understand their data estates, AI priorities, governance needs, success measures, and business outcomes; translate these requirements into secure, scalable, and AI-ready Cloud & AI Data solutions. Lead architecture design and create Data and AI platform roadmaps spanning analytics, data engineering, databases, governance, and AI-enabled scenarios. Drive technical engagements from architecture and proof of concept through pilot, production deployment, and scaled adoption. Help customers establish reusable patterns rather than treating each implementation as an isolated solution. Help customers establish effective data governance practices, including data ownership, security, quality, discoverability, metadata management, compliance, and lifecycle management, aligned to their organizational and regulatory requirements. Improve the health a
Full job description
Full Job Description
Engage customer business and technology leaders to understand their data estates, AI priorities, governance needs, success measures, and business outcomes; translate these requirements into secure, scalable, and AI-ready Cloud & AI Data solutions. Lead architecture design and create Data and AI platform roadmaps spanning analytics, data engineering, databases, governance, and AI-enabled scenarios. Drive technical engagements from architecture and proof of concept through pilot, production deployment, and scaled adoption. Help customers establish reusable patterns rather than treating each implementation as an isolated solution. Help customers establish effective data governance practices, including data ownership, security, quality, discoverability, metadata management, compliance, and lifecycle management, aligned to their organizational and regulatory requirements. Improve the health and sustainability of mission-critical data workloads by addressing resiliency, security, sovereignty, performance, capacity management, operational readiness, and cost optimization. Partner with CSAMs, account teams, specialists, engineering teams, and delivery resources to remove technical blockers, align customer success plans with feasible delivery outcomes, contribute reusable IP, and share customer and field feedback with product teams. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field o AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field o AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting o OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field o AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting 4+ years experience working in a customer-facing role (e.g., internal and/or external). Experience with enterprise architecture considerations such as security, governance, data quality, metadata management, resiliency, performance optimization, capacity planning, operational readiness, and cost management. Relevant Cloud, Data, Analytics, Database, AI, or Security certifications are preferred. Cloud Solution Architecture IC4 - The typical base pay range for this role across Canada is CAD $96,000 - CAD $177,600 per year.
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