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Added 1 month ago
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Senior Platform Engineer - Terraform, Azure
BDO
Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
Python, used alongside Terraform for automation and scripting where IaC alone isn't sufficient
Added 1 month ago
S
Senior Data Engineer
Super.com
Remote, Canada
- Full-time
- Remote
5+ years of software/data engineering experience with expert hands-on Python and SQL practice
Added 1 month ago
Senior Manager, Audience Intelligence
Sony Music Entertainment Canada
Toronto, ON
Proficiency in analytical languages such as SQL and/or Python is considered a strong asset.
Added 1 month ago
JI
Finance Data Analyst Student - Winter 2027
J.D. Irving, Limited
Saint John, NB
- Full-time
Experience with Power BI, Tableau, SQL, Python, Alteryx, or similar analytics and automation tools is considered an asset.
Added 1 month ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Proficiency in T-SQL, SSIS/DTS packages, relational databases, and enterprise data modeling.
Added 1 month ago
Business Intelligence Developer
Take-Two Interactive Software, Inc.
Toronto, ON
Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products…
Added 2 months ago
IO
UDA Business Analyst - Students Seeking Opportunities
Imperial Oil
Calgary, AB
- Full-time
Experience with Python and SQL for data analysis, automation, development, or projects.
Added 2 months ago
Development & Operations Analyst
CAA Club Group
Thornhill, ON
Experienced with configuration and managing SQL server databases
Added 1 month ago
Senior Manager, Audience Intelligence
Sony Music Global Job Board
Toronto, ON
Proficiency in analytical languages such as SQL and/or Python is considered a strong asset.
Added 1 month ago
Analytics & AI Solutions Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Utilize SQL, Python, and modern analytics tools to automate reporting processes and solve complex business problems.
Added 1 month ago
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Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
Must Have - Advanced Python & Java expertise in production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as Anthropic, LangChain,…
Added 1 month ago
Data Platform Administrator (12-month contract)
ARC Resources Ltd.
Calgary, AB
A minimum of 3 years of experience administering Oracle, Postgres, and SQL Server databases in both Windows and Unix/AIX environments
Added 1 month ago
Geomatics Technologist
Government of Alberta
Edmonton, AB
The Alberta Public Service works to build a stronger province for current and future generations. We make a difference in the lives of Albertans through rewarding and diverse career…
Added 1 month ago
Senior Manager, Marketing Revenue & Analytics
HelloFresh
Toronto, ON
Advanced abilities in Excel and SQL, along with requisite knowledge in other relevant languages (eg. python and R), as well as an ability to use statistical modeling techniques for robust…
Added 1 month ago
CF
Investment Analyst
CI Financial
ON
- Full-time
Experience with Python, SQL, VBA, Power BI, or similar tools is an asset
Added 1 month ago
System Assets Configuration Coordinator
Aecon
Toronto, ON · Scarborough, ON
Familiarity with Power BI, SQL, Python, or automation tools is an asset but not required.
Added 1 month ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Design, build, and implement scalable data pipelines using Microsoft Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest,…
Added 2 months ago
D
Analyst/Consultant/Senior Consultant, AML Analytics, Financial Engineering & Modeling
Deloitte
Toronto, ON
- Full-time
Strong programming skills in Python, SQL, R, SAS, or similar analytical languages, with experience working with large and complex datasets.
Added 2 months ago
D
Consultant / Senior Consultant, Financial Crime Analytics
Deloitte
Toronto, ON
- Full-time
Proven experience with data analytics and visualization tools such as SQL, Python, Databricks, Tableau, Power BI.
Added 2 months ago
H
Senior Python Developer
Highspring
Montreal, QC
- Full-time
Highspring is seeking a Senior Python Backend Developer in permanent position to join a mobile technology team responsible for building and supporting applications that enable critical…
Added 2 months ago
E
Senior Consultant - Credit Risk Modelling - Montreal
EY
Montreal, QC
- Full-time
Significant experience and proven ability to program in pertinent languages, such as Excel, SAS, SQL, R, and Python.
Added 2 months ago
D
Actuarial Manager, Property & Casualty, Actuarial Insurance Solutions
Deloitte
Toronto, ON
- Full-time
At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our…
Added 2 months ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
Proficiency in programming languages and tools such as Python, SQL, or similar.
Added 2 months ago
D
Manager, Financial Crime Analytics
Deloitte
Toronto, ON
- Full-time
Proven experience with data analytics and visualization tools such as SQL, Python, Databricks, Tableau, Power BI.
Added 2 months ago
D
Manager, AML Analytics - Financial Engineering & Modeling
Deloitte
Toronto, ON
- Full-time
Strong programming skills in Python, SQL, SAS, R, or similar technologies, with hands-on experience working with large and complex datasets. Experience with automation and advanced…

Mother Parkers Tea & Coffee

Data Architect Fabric Platform Lead

Mississauga, ON, Canada

The hiring range for this role is $132,000 - $140,000.

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Job details

Pay: The hiring range for this role is $132,000 - $140,000.
Posting language: English
Posted: Sep 2, 2026

Original job description

Who is Mother Parkers?

We are one of the largest tea and coffee manufacturers in North America, with a mission to create a better beverage experience for our customers. As a leading customer solutions provider to some of North America’s largest retailers and foodservice chains, we use state-of-the-art technology and new product innovation to help our customers grow their business and deliver superior products to their clientele. Our team of coffee and tea experts are deeply passionate about what we do, proud of our 100+ years of business success, and excited about building a future with endless possibilities. Come join our team and work among the best, collaborate with high performers, and contribute to challenging work every day!

The Role:

Reporting to the Senior Manager - BI Analytics & Applied AI, the Data Architect & Fabric Platform Lead is responsible for defining and governing the enterprise data architecture and Microsoft Fabric platform. This role provides technical leadership for data engineering, platform modernization, governance, and solution design, ensuring scalable, secure, and reliable data foundations that support reporting, analytics, AI, and business decision-making.

The position will lead the evolution of Mother Parkers' Microsoft Fabric ecosystem, establish enterprise architecture standards, drive modernization initiatives, and mentor technical resources while partnering with business and technology teams to deliver high-quality data solutions. The role is accountable for the Data Engineering & Platform capability within the BI organization.

What you get to do:

Own the enterprise data architecture roadmap and Microsoft Fabric platform strategy.
Translate business requirements into scalable target-state architectures, solution designs, and implementation roadmaps.
Design and govern OneLake, Lakehouse, Data Warehouse, Medallion Architecture (Bronze, Silver, Gold), Data Pipelines, Semantic Models, and enterprise data products.
Architect and support enterprise data platforms that enable reporting, analytics, automation, and AI initiatives.
Design and govern parameterized ingestion frameworks supporting batch, incremental, and near real-time integrations from databases, APIs, files, ERP systems, and other enterprise applications.
Optimize data pipeline, semantic model, and query performance through modern engineering practices, partitioning strategies, incremental loading, Direct Lake architecture, and scalable design patterns.
Define and implement CI/CD, deployment automation, source control, and environment management practices using Azure DevOps and Microsoft Fabric deployment capabilities.
Establish data engineering standards, reusable frameworks, technical governance processes, and best practices across the BI organization.
Define and enforce standards for data quality, security, metadata management, lineage, documentation, data dictionary, and lifecycle management.
Manage Microsoft Fabric and Azure platform utilization, capacity planning, performance monitoring, and cloud cost optimization.
Support data governance, cybersecurity, compliance, and enterprise architecture initiatives across the analytics landscape.
Define and govern AI-ready data architectures that support Machine Learning, Generative AI, Copilot, and enterprise AI initiatives.
Provide architecture guidance for AI, advanced analytics, and data science workloads to ensure scalability, governance, and security.
Establish technical standards for reusable AI-ready datasets and enterprise data products.
Lead architecture reviews, code reviews, technical mentoring, and knowledge-sharing initiatives across data engineering and analytics teams.
Partner with business stakeholders, BTS teams, and solution leads to ensure technical solutions align with business objectives and enterprise standards.
Evaluate emerging technologies and recommend innovative approaches that improve scalability, governance, automation, and business value.
Drive modernization efforts, including migration and optimization of legacy BI, database, and integration solutions into Microsoft Fabric.

What you bring to the role:

Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, Information Systems, or a related discipline or equivalent.
7+ years of experience in Data Architecture, Data Engineering, Data Warehousing, Business Intelligence, or related disciplines.
Minimum 2-3 years of experience serving as a Data Architect, Technical Lead, or Senior Data Engineering Lead.
Proven experience designing and implementing enterprise-scale cloud data platforms.
Experience leading architecture initiatives, platform modernization programs, and technical teams.
Experience working within Agile, Scrum, Kanban, or hybrid delivery methodologies.
Experience within Consumer-Packaged Goods (CPG), Manufacturing, Supply Chain, Procurement, or ERP-driven environments is strongly preferred.
Expert knowledge of Microsoft Fabric, OneLake, Lakehouse, Warehouse, Data Pipelines, Notebooks, Semantic Models, and modern cloud data platforms.
Deep understanding of Medallion Architecture, Data Warehousing, Lakehouse concepts, and cloud-native data architecture patterns.
Proficiency in T-SQL, SSIS/DTS packages, relational databases, and enterprise data modeling.
Strong hands-on experience with Python, Spark/PySpark, REST APIs, and modern data engineering practices.
Experience designing scalable data ingestion frameworks supporting structured, semi-structured, and enterprise application data sources.
Strong knowledge of database, ETL, ELT, and reporting performance tuning methodologies.
Experience preparing, transforming, and modeling data for Business Intelligence and Analytics solutions.
Advanced Power BI development skills including Power Query, M Query, DAX, Semantic Models, Direct Lake, Import Models, aggregations, and star schema design.
Strong understanding of Data Governance, Data Quality, Master Data Management, Metadata Management, Security, and Data Lineage principles.
Experience managing Azure and Fabric capacity utilization, performance, and cost optimization strategies.
Experience implementing CI/CD pipelines, source control, release management, and deployment automation using Azure DevOps.
Understanding of AI, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Copilot architecture, and enterprise AI data foundations.
Experience designing and supporting data architectures that enable AI, predictive analytics, and advanced analytics initiatives.
Experience leading architecture reviews, technical design reviews, code reviews, and mentoring technical resources.
Strong analytical, problem-solving, communication, and documentation skills.
Ability to manage multiple priorities and thrive in a fast-paced, dynamic environment.
Understanding of ERP concepts and practical experience with Dynamics 365 and/or CRM is considered a strong asset

What we offer you:

Competitive Total Rewards package – health benefits coverage on day 1, employer matched retirement savings plans, optional Health or Wellness Spending Accounts.
Employee discount program on our coffee and tea products.
Annual Safety Shoes Program – your safety is our #1 priority.
Tuition Assistance Program – we value continuous learning and self-development.
The hiring range for this role is $132,000 - $140,000.

This posting is for an existing/new vacancy.

We use AI enabled tools to support parts of our selection process; however, every hiring decision is reviewed and finalized by our people.

While Mother Parkers welcomes all applications, we do not accept unsolicited resumes from employment agencies or search firms. Only those candidates who meet the minimum requirements will be contacted. Mother Parkers is committed to providing accommodation for persons with disabilities. Accommodation is available on request for candidates taking part in all aspects of the selection process.

By providing your information to us, you understand and agree to Mother Parkers Tea & Coffee’s privacy policy: https://www.mother-parkers.com/privacy-policy/

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More about this job

Responsibilities

The Data Architect & Fabric Platform Lead is responsible for defining and governing the enterprise data architecture and Microsoft Fabric platform. This role provides technical leadership for data engineering, platform modernization, and solution design to support analytics and AI initiatives.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 7 years of experience in data architecture or engineering. Expert knowledge of Microsoft Fabric, cloud data platforms, and modern data engineering practices is required.

Skills

Microsoft Fabric
Data Architecture
Data Engineering
Power BI
Python
Spark
T-SQL
Azure DevOps
Data Governance
Medallion Architecture
Cloud Data Platforms
ETL/ELT
Data Modeling
AI/ML
Performance Tuning
Technical Leadership

Benefits

Health benefits coverage
Health spending account
Wellness spending account
Employee discount program
Annual safety shoes program
Tuition assistance program

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
OneLake
Lakehouse
Data Warehouse
Medallion Architecture
Data Pipelines
Semantic Models
Azure
Python
Spark
PySpark
T-SQL
Power BI
DAX
Azure DevOps
CI/CD
Data Governance
Machine Learning
Generative AI
RAG
Dynamics 365
Data Modeling
ETL
ELT
Cloud Computing
Performance Tuning
Agile
Scrum
Kanban
CPG

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