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Added 34 mins ago
Senior Salesforce Developer
CGI
Halifax, NS
Full-time
CGI is seeking an experienced Senior Salesforce Developer to join our growing Salesforce practice. In this role, you will design, develop, and deliver scalable Salesforce solutions that…
Added 1 hour ago
CCaaS Delivery Lead
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Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
Full-time
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Added 3 hours ago
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Financial Security Advisor, Insurance- EN
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Software Engineering LMTS
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Added 7 hours ago
Principal Data Engineer
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Markham, ON
Full-time
…data currently siloed across on-prem network/OSS/BSS systems, Salesforce CRM, and other business sources, and embed compliance, lineage, and cataloging by…
Added 7 hours ago
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Xplore Inc

Principal Data Engineer

Markham, ON, Canada

Job type: Full-time
Experience: 10+ years of data engineering experience, including 4+ years leading platform or team-level initiatives.
Posting language: English
Posted: Jul 30, 2026

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Original job description

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.

This role is for an experienced technical leader to lead the technical roadmap and upskill the Xplore data engineering team. You will define the end-to-end data platform (ingestion, storage, modeling, governance, quality, observability), unify data currently siloed across on-prem network/OSS/BSS systems, Salesforce CRM, and other business sources, and embed compliance, lineage, and cataloging by design.

Key responsibilities include:

Own the architecture and delivery of a scalable enterprise lakehouse platform following the medallion pattern (bronze/silver/gold layers) to support BI, data science, and AI use cases.
Stand up robust ingestion pipelines from on-prem and cloud systems (e.g., SQL Server/Oracle, network telemetry/OSS, Salesforce via APIs/CDC), enabling both batch and streaming workloads.
Implement governance, security, and compliance controls end-to-end: role-based and attribute-based access control, row/column-level security, secrets and key management, data retention, and privacy-by-design aligned to Canadian regulations (e.g., PIPEDA/CPPA, Quebec Law 25) and other relevant standards.
Establish enterprise data lineage and cataloging using modern metadata management and data discovery tools; curate business glossaries and data contracts with domain owners.
Define data quality SLAs/SLOs and automated validation at ingestion and transformation stages; implement observability and alerting for freshness, volume, and schema drift.
Partner with analytics, data science, and AI/ML teams to provision clean, well-documented datasets and features, and enable MLOps-friendly patterns.
Lead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).
Create reference architectures, standards, and reusable frameworks; mentor data engineers and champion engineering excellence and security-first development.
Collaborate across information security, privacy, legal, and compliance domains to translate policies into technical controls, and to support audits and evidence collection.
Engage with business stakeholders to prioritize the roadmap, translate use cases into data products, and measure value delivered.
Build, mentor, and inspire a high-performing data engineering team; establish best practices for reproducibility, testing, and documentation

The ideal candidate will possess:

10+ years of data engineering experience, including 4+ years leading platform or team-level initiatives.
Expert hands-on skills with modern data lakehouse and distributed compute platforms (e.g., Spark-based ecosystems, cloud-native storage, streaming frameworks).
Strong experience with enterprise data cataloging, lineage, and governance at scale.
Proficiency in Python and/or Scala, advanced SQL, and performance tuning for large-scale ELT.
Practical knowledge of ingestion from Salesforce, on-prem RDBMS, files/telemetry, and APIs; experience bridging on-prem systems with cloud platforms.
Solid grasp of security and privacy controls (RBAC, encryption, tokenization/masking), and familiarity with Canadian privacy regimes (PIPEDA/CPPA, Law 25) and other relevant standards.
Experience with CI/CD, infrastructure as code, automated testing frameworks, and data observability solutions.
Comfort collaborating across domains (Network, Care, Marketing, Finance, Sales) and translating business needs into scalable data products.
Advanced academic background in a quantitative discipline such as Computer Science, Engineering, Mathematics, or a related field.
Excellent communication skills, a coaching mindset, and the ability to set platform vision and deliver iteratively.

Condition of Employment:

As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

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More about this job

Responsibilities

The Principal Data Engineer will lead the technical roadmap and architecture for a scalable enterprise lakehouse platform while mentoring the data engineering team. They will also define data governance, quality standards, and security controls to ensure compliance with Canadian privacy regulations.

Requirements

Candidates must have over 10 years of data engineering experience with at least 4 years in a leadership capacity. Proficiency in modern data lakehouse platforms, Python/Scala, and enterprise data governance is required, along with an advanced academic background in a quantitative discipline.

Skills

Data Engineering
Data Architecture
Spark
Python
Scala
SQL
Data Governance
Cloud Platforms
Data Lakehouse
ETL
Data Lineage
Metadata Management
CI/CD
Infrastructure as Code
Data Observability
FinOps

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Lakehouse
Medallion Pattern
Spark
Salesforce
SQL Server
Oracle
Cloud-native
Data Governance
PIPEDA
CPPA
Law 25
Data Lineage
Metadata Management
Data Quality
Observability
CI/CD
Infrastructure as Code
FinOps
Python
Scala
ELT
Data Science
AI/ML
MLOps
Security
Privacy
Compliance
Broadband
Telecommunications

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