AI Data Engineer

Senior AI Data Engineer - Enterprise Data Build It. Scale It. Own It. Sangoma is a global leader in business communications, delivering cloud-based solutions that help organizations connect, collaborate, and engage with their customers. Our portfolio includes Unified Communications (UCaaS), Contact Center (CCaaS), VoIP, SIP Trunking, Managed Connectivity, and Customer Experience solutions serving businesses worldwide. Data is becoming one of Sangoma's most strategic assets. As we modernize our enterprise platform, you will build the data foundation that powers reporting, operational decision-making, automation, and AI across the company. We are assembling a small, high-caliber tiger team to design and deploy a modern AWS-based lakehouse architecture from the ground up. This is a greenfield opportunity to shape how data is collected, governed, and delivered. You won't inherit someone else's architecture. You'll help define it. Working across Engineering, Product, Finance, and Business Operations, you will establish the platform, standards, and engineering practices that transform data into a trusted enterprise capability. You'll make an impact by: Building a modern, scalable enterprise data platform that supports analytics, business intelligence, and AI. Creating trusted, governed data products that become the foundation for enterprise reporting and decision-making. Designing reliable, automated data pipelines that integrate our core business systems into a single, scalable architecture. Establishing engineering standards for data quality, governance, security, observability, and platform reliability. Partnering with business and technology leaders to solve complex data challenges and enable new capabilities across the organization. Helping define the long-term vision and technical direction of Sangoma's enterprise data platform Requirements Your Background: You have experience building modern cloud-based data platforms and enjoy turning complex data into reliable, scalable solutions that the business can trust. You are comfortable working across engineering, product, and business teams to create data products that improve reporting, analytics, and decision-making. You bring experience with: Cloud data platforms in AWS or a similar cloud environment Building data pipelines using Python and SQL Data modeling, transformation, and orchestration tools Modern data warehouses such as Snowflake, Redshift, or equivalent platforms Git-based source control and CI/CD development practices Designing reliable, secure, and well-governed data solutions Experience in one or more of the following is a plus: Snowflake or other cloud data platforms AI and machine learning data pipelines ERP and CRM platforms such as NetSuite and Salesforce Search and vector database technologies Benefits What We Offer: Extended Healthcare Plan (Medical, Disability, Dental & Vision) RPP - Group RRSP Group Life - AD&D - Critical Illness Insurance Paid Time Off Benefits Work From Home - Flexible hours Entrepreneurial work environment partnered with high growth career opportunities Are you ready to make a direct impact on the company and be rewarded for your performance? Are you ready to take on a new challenge? Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

Design and deploy a modern AWS-based lakehouse architecture to serve as a scalable enterprise data platform. Build automated data pipelines and establish engineering standards for data quality, governance, and security.

Candidates must have experience building cloud-based data platforms using Python, SQL, and modern data warehouses like Snowflake or Redshift. Proficiency with Git-based CI/CD practices and experience in data modeling and orchestration is required.

• Extended Healthcare Plan (Medical, Disability, Dental & Vision) • Group RRSP • Group Life Insurance • AD&D • Critical Illness Insurance • Paid Time Off • Work From Home

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AWS
• Python
• SQL
• Data Modeling
• Data Transformation
• Orchestration Tools
• Snowflake
• Redshift
• Git
• CI/CD
• Data Governance
• Data Security
• Data Observability
• Machine Learning Pipelines
• Vector Databases
• ERP/CRM Integration

Expérience minimale

5+ ans

Postuler avant le

17 janv. 2027