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AI Data Engineer

Role overview

Qualifications

  • Experience building modern cloud-based data platforms
  • Proficient in building data pipelines using Python and SQL
  • Knowledge of data modeling, transformation, and orchestration tools
  • Familiarity with modern data warehouses such as Snowflake or Redshift

Responsibilities

  • Build a modern, scalable enterprise data platform that supports analytics and AI
  • Create trusted, governed data products for enterprise reporting
  • Design reliable, automated data pipelines integrating core business systems
  • Establish engineering standards for data quality, governance, and security

About the company

Sangoma logo

Sangoma

Telecommunications

Sangoma is a leading global Communications as a Service (CaaS) provider that empowers businesses of all sizes to connect to the people and processes that matter. Since its inception, Sangoma has been recognized as a trusted leader in the communications industry and continues to offer a stable, global presence, future-forward vision, and diverse portfolio of solutions, services, and support. Sangoma’s solutions are trusted by leading companies worldwide, from SMBs to enterprises, and in contact center, carrier networks, and data communication applications. Sangoma customers have the most reliable and flexible business platform on the market with concierge support from the Sangoma team. Sangoma has garnered awards from significant industry analysts, such as the Gartner Magic Quadrant for UCaaS, and the Frost and Sullivan Best Practices Unified Communications and Collaboration Competitive Strategy Leadership Award. Recognition of Sangoma’s pioneering innovation in the enterprise cloud market has allowed Sangoma to gain entry onto prestigious lists such as the Deloitte Enterprise Technology Fast 15, Omdia Top 10 UCaaS Service Provider, and Forbes Most Promising Companies. Sangoma Technologies Corporation is publicly traded on the Toronto Stock Exchange under the symbol “STC” and on NASDAQ under the trading symbol ‘SANG” (TSX: STC; NASDAQ: SANG).

Company details

Company typeSME
IndustryTelecommunications
Company size201 - 500

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Job description

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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