AI Data Engineer

Posted 2 Days Ago
2 Locations
In-Office or Remote
Senior level
Cloud • Information Technology • Software
The Role
Design and build an AWS-based lakehouse and scalable enterprise data platform. Create governed data products and automated Python/SQL pipelines. Establish standards for data quality, governance, security, observability, and CI/CD. Partner with engineering, product, finance, and business teams to enable analytics and AI and define the platform's long-term vision.
Summary Generated by Built In

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.

RequirementsYour 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.

Skills Required

  • Experience building cloud data platforms (AWS or similar)
  • Building data pipelines using Python
  • Building data pipelines using SQL
  • Data modeling, transformation, and orchestration tools
  • Experience with modern data warehouses (Snowflake, Redshift, or equivalent)
  • Git-based source control and CI/CD development practices
  • Designing reliable, secure, and well-governed data solutions
  • Ability to partner with engineering, product, finance, and business teams
  • Experience with AI and machine learning data pipelines
  • Experience with ERP/CRM platforms such as NetSuite and Salesforce
  • Experience with search and vector database technologies
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The Company
HQ: Markham, ON
621 Employees
Year Founded: 1984

What We Do

With over 40 years in the industry, Sangoma (TSX: STC; Nasdaq: SANG) is a trusted communications platform leader specializing in UCaaS, CCaaS, CPaaS, and SIP trunking and faxing. We provide secure communications platforms for cloud, hybrid, and on-prem deployments, all built in-house. Our integrated approach combines voice, video, networking, and security technologies for an exceptional experience. Sangoma proudly supports more than 2.7 million UC seats across 100,000 customers. Our ongoing commitment to innovation is evident through our leadership in the Asterisk and FreePBX open-source projects and our ten-year streak in the Gartner UCaaS Magic Quadrant.

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