Mobiz Inc.

Technical Project Manager

• Delivery of IT infrastructure, cloud, and workplace technology projects in line with defined scope and milestones
• Delivery support for Azure cloud migration initiatives
• Coordination of infrastructure deployments (network, server, storage, virtualization, cloud integration)
• Delivery of enterprise voice and unified communications initiatives (VoIP, UCaaS, CCaaS)
• Preparation of project documentation including schedules, delivery plans, and risk registers
• Reporting on agreed project performance metrics (scope, schedule, quality, risks)
• Coordination with engineering teams, vendors, and client stakeholders as required to deliver outcomes
• Maintenance of RAID logs (Risks, Actions, Issues, Decisions)
• Delivery of services in accordance with applicable security, governance, and architectural requirements defined by the client
• Contribution to post-engagement reviews and continuous improvement activities

IT Project Manager

Customer Success Manager

• Execute and manage the Customer Success Program to maximize client satisfaction and retention.
• Proactively engage with existing clients to understand their needs, address concerns, and provide ongoing support.
• Conduct regular check-ins and business reviews with clients to ensure they are achieving their desired outcomes.
• Identify opportunities for upselling or cross-selling additional products and services.
• Build and maintain strong, long-lasting client relationships through regular communication and exceptional service.
• Collaborate with and assist the sales team to identify opportunities, generate leads, and achieve revenue targets.
• Maintain accurate records of client interactions, sales activities, and progress in Dynamics 365 CRM.
• Prepare regular sales and KPI reports to track and measure progress against targets.

Data Engineer

• Design, build, test, deploy, and maintain robust data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric, supporting both batch and streaming workloads.
• Ingest, integrate, and harmonize data from multiple cloud and on-premises sources to deliver a unified, reliable, and trusted data view for analytics and reporting.
• Use Python and SQL to clean, transform, validate, and model data to meet business, reporting, and analytical requirements.
• Contribute to data architecture and platform design decisions, ensuring solutions are scalable, secure, cost-effective, and aligned with long-term business and technical strategy.
• Build and maintain metadata-driven pipelines that gracefully adapt to schema changes, new data sources, and evolving ingestion patterns.
• Proactively identify data quality issues, pipeline failures, and performance bottlenecks; perform root-cause analysis and implement durable, long-term solutions.
• Continuously optimize data pipeline performance, reliability, and scalability to ensure fast, consistent, and dependable access to data.
• Implement automated data quality checks, validation rules, and monitoring dashboards to ensure accuracy, consistency, and trust in delivered datasets.
• Monitor, analyze, and manage data pipeline and compute costs across Azure, Databricks, and Microsoft Fabric, recommending and implementing cost-optimization strategies without compromising performance or availability.
• Automate routine and repetitive data engineering tasks, applying best practices for CI/CD, deployment, testing, and operational support.
• Design, implement, and maintain secure data access controls using role-based access, audits, and governance best practices to ensure appropriate data security and compliance.
• Maintain clear, accurate, and up-to-date technical documentation, and provide ongoing operational support as data platforms and business needs evolve.
• Stay current with emerging data engineering technologies, cloud services, and analytics best practices, and evaluate new tools through proofs of concept when appropriate.
• Collaborate closely with product managers, software engineers, analysts, and operations teams to embed high-quality data solutions into core business processes.
• Promote and enforce data engineering best practices including version control, modular and reusable pipeline design, documentation standards, and scalable architecture patterns.
• Enable and support data democratization by providing well-modeled, secure, and self-service-ready datasets through Power BI, Microsoft Fabric, or custom analytics solutions.
• Deliver measurable outcomes such as highly reliable pipelines with minimal manual intervention, on-time pipeline execution within service windows, rapid resolution of critical incidents, and consistently high data quality.
• Ensure reusable and standardized pipeline components are leveraged across teams to accelerate delivery, improve consistency, and reduce operational overhead.
• Provide stakeholders with reliable, well-modeled datasets that can be confidently explored without requiring ongoing engineering support.
• Ensure all data solutions comply with organizational security, access, and governance policies while maintaining positive feedback from internal and external users.

Solutions Engineer

• Design and implement scalable, secure, and cost‑effective AWS architectures for client engagements
• Drive the design and delivery of end-to-end AWS cloud architectures across client engagements
• Collaborate remotely with stakeholders, product managers, and engineering teams to define requirements
• Evaluate and recommend AWS services, tools, and frameworks to optimize performance
• Develop high-quality architectural deliverables, including solution designs and technical documentation
• Define and guide cloud migration strategies based on client needs
• Design and implement infrastructure-as-code (IaC) solutions using AWS CloudFormation or Terraform
• Enable DevOps and CI/CD best practices
• Conduct architecture reviews, security assessments, and performance optimization initiatives
• Provide technical leadership and knowledge transfer to client and partner teams

AWS Cloud Solutions Architect

• Drive the design and delivery of end-to-end AWS cloud architectures.
• Collaborate remotely with stakeholders, product managers, and engineering teams.
• Evaluate and recommend AWS services, tools, and frameworks.
• Develop high-quality architectural deliverables, including solution designs and technical documentation.
• Define and guide cloud migration strategies based on client needs.
• Design and implement infrastructure-as-code (IaC) solutions using AWS CloudFormation, Terraform, or AWS CDK.
• Enable DevOps and CI/CD best practices.

• Design and implement scalable, secure, and cost-effective AWS architectures for client engagements
• Drive the design and delivery of end-to-end AWS cloud architectures across client engagements
• Collaborate remotely with stakeholders, product managers, and engineering teams to define requirements
• Evaluate and recommend AWS services, tools, and frameworks to optimize performance, reliability, and cost-efficiency
• Develop high-quality architectural deliverables, including solution designs and technical documentation
• Define and guide cloud migration strategies based on client needs
• Design and implement infrastructure-as-code (IaC) solutions
• Enable DevOps and CI/CD best practices
• Conduct architecture reviews, security assessments, and performance optimization initiatives
• Provide technical leadership and knowledge transfer to client and partner teams

• Design and implement scalable, secure, and cost‑effective AWS architectures for client engagements
• Drive the design and delivery of end-to-end AWS cloud architectures across client engagements
• Collaborate remotely with stakeholders, product managers, and engineering teams to define requirements
• Evaluate and recommend AWS services, tools, and frameworks to optimize performance, reliability, and cost-efficiency
• Develop high-quality architectural deliverables, including solution designs and technical documentation
• Define and guide cloud migration strategies based on client needs
• Enable DevOps and CI/CD best practices to improve delivery speed and consistency
• Conduct architecture reviews, security assessments, and performance optimization initiatives
• Provide technical leadership and knowledge transfer to client and partner teams