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Senior Technology Architect, Google Cloud Platform

TELUS

TELUS

IT
Toronto, ON, Canada
Posted on Saturday, October 28, 2023
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Senior Technology Architect, Google Cloud Platform

Location: 

Toronto, ON, CA Vancouver, BC, CA Calgary, AB, CA

Req ID:  37258
Jobs by Category:  Sales and Marketing
Job Function:  Technology
Status:  Full Time
Schedule:  Regular

Description

 

Our team and what we’ll accomplish together 

 

Our Team – TELUS Business Solutions Marketing Analytics - has a mandate to build solutions for our stakeholders using data to drive business outcomes.  We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience.


 
Come join our team if you have a passion for data, analytics, marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.


What you’ll do

 

As a Senior Technology Architect in the team, you will be working with Business Stakeholders and the Data Scientists to build data assets that will be leveraged by the data scientists for machine learning/AI models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns.  Your solutions will have a direct impact on marketing sales targets and P&L.
 

  • Design and build scalable and resilient Data Pipelines & Analytics solutions in Google Cloud Platform – architect technical solutions to obtain, process, store and provide insights based on processed data
  • Build data assets for machine learning purposes on Google Cloud Platform 
  • Work on automation and optimization of internal processes
  • Provide data analysis and standard reporting support 
  • Design, develop, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the ETL pipeline
  • Keep up to date with the evolving Cloud technology and Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies.

Qualifications

 

What you bring

 

 

  • Bachelors and/or Masters degree preferred
  • 5 years of experience in big data analytics and distributed systems
  • Experience in writing code/ETL processes/Monitoring processes on Google Cloud Platform
  • Knowledge of Big Data with a focus on data engineering; optimizing data, pipelines, ETLs
  • Experience implementing production level deployments at an enterprise scale on Google Cloud Platform
  • Strong coding and development skills in programming languages (e.g. Python, PySpark etc.)
  • A Strong understanding of data structures, databases, data lakes, and data ingestion and transformation routines

 

Great-to-have

 

 

  • Post graduate education in Data,Advanced Analytics, Computer Science Engg/Programming or any other relevant program
  • Certification on Google cloud or any other cloud platform
  • Machine Learning and AI, including classification, clustering, time series analysis, NLP, optimization, and deep learning experience or knowledge
  • Telecom industry experience
     

#LI-REMOTE

A bit about us

We’re a people-focused, customer-first, purpose-driven team who works together every day to innovate and do good. We improve lives through our technology solutions and foster a culture of innovation that empowers team members to solve complex problems and create remarkable human outcomes in a digital world. 

You’ll find our engaging, high-performance culture personally fulfilling, professionally challenging, and financially rewarding. We’re committed to diversity and equitable access to employment opportunities based on ability. Your unique contributions and talents will be valued and respected here. When you join our team, you’re helping us make the future friendly.

Note for Quebec candidates: if knowledge of English is required for this position, it is because the team member will be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.

 

 

 

 

Sales and Marketing

Help us, help our customers make a real connection

We are honoured to be recognized

$14.7 billion
TELUS’s annual revenue

$4.8 billion
The brand value that TELUS brings

12
Consecutive years our annual dividend payment has increased

Accessibility

TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

We offer accommodation for applicants with disabilities, as required, during the recruitment process.

Apply now »
Apply now »

Senior Technology Architect, Google Cloud Platform

Location: 

Toronto, ON, CA Vancouver, BC, CA Calgary, AB, CA

Req ID:  37258
Jobs by Category:  Sales and Marketing
Job Function:  Technology
Status:  Full Time
Schedule:  Regular

Description

 

Our team and what we’ll accomplish together 

 

Our Team – TELUS Business Solutions Marketing Analytics - has a mandate to build solutions for our stakeholders using data to drive business outcomes.  We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience.


 
Come join our team if you have a passion for data, analytics, marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.


What you’ll do

 

As a Senior Technology Architect in the team, you will be working with Business Stakeholders and the Data Scientists to build data assets that will be leveraged by the data scientists for machine learning/AI models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns.  Your solutions will have a direct impact on marketing sales targets and P&L.
 

  • Design and build scalable and resilient Data Pipelines & Analytics solutions in Google Cloud Platform – architect technical solutions to obtain, process, store and provide insights based on processed data
  • Build data assets for machine learning purposes on Google Cloud Platform 
  • Work on automation and optimization of internal processes
  • Provide data analysis and standard reporting support 
  • Design, develop, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the ETL pipeline
  • Keep up to date with the evolving Cloud technology and Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies.

Qualifications

 

What you bring

 

 

  • Bachelors and/or Masters degree preferred
  • 5 years of experience in big data analytics and distributed systems
  • Experience in writing code/ETL processes/Monitoring processes on Google Cloud Platform
  • Knowledge of Big Data with a focus on data engineering; optimizing data, pipelines, ETLs
  • Experience implementing production level deployments at an enterprise scale on Google Cloud Platform
  • Strong coding and development skills in programming languages (e.g. Python, PySpark etc.)
  • A Strong understanding of data structures, databases, data lakes, and data ingestion and transformation routines

 

Great-to-have

 

 

  • Post graduate education in Data,Advanced Analytics, Computer Science Engg/Programming or any other relevant program
  • Certification on Google cloud or any other cloud platform
  • Machine Learning and AI, including classification, clustering, time series analysis, NLP, optimization, and deep learning experience or knowledge
  • Telecom industry experience
     

#LI-REMOTE

A bit about us

We’re a people-focused, customer-first, purpose-driven team who works together every day to innovate and do good. We improve lives through our technology solutions and foster a culture of innovation that empowers team members to solve complex problems and create remarkable human outcomes in a digital world. 

You’ll find our engaging, high-performance culture personally fulfilling, professionally challenging, and financially rewarding. We’re committed to diversity and equitable access to employment opportunities based on ability. Your unique contributions and talents will be valued and respected here. When you join our team, you’re helping us make the future friendly.

Note for Quebec candidates: if knowledge of English is required for this position, it is because the team member will be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.

 

 

 

 

Sales and Marketing

Help us, help our customers make a real connection

We are honoured to be recognized

$14.7 billion
TELUS’s annual revenue

$4.8 billion
The brand value that TELUS brings

12
Consecutive years our annual dividend payment has increased

Accessibility

TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

We offer accommodation for applicants with disabilities, as required, during the recruitment process.

Apply now »

Description

 

Our team and what we’ll accomplish together 

 

Our Team – TELUS Business Solutions Marketing Analytics - has a mandate to build solutions for our stakeholders using data to drive business outcomes.  We love to turn data into stories - stories about money falling through the cracks, success stories about our products and services, but most importantly stories about our customers and how we can enhance their experience.


 
Come join our team if you have a passion for data, analytics, marketing, the courage to innovate, embrace change and embody spirited teamwork to support stakeholders across a wide variety of teams.


What you’ll do

 

As a Senior Technology Architect in the team, you will be working with Business Stakeholders and the Data Scientists to build data assets that will be leveraged by the data scientists for machine learning/AI models to protect the customer base, acquire new customers and to enable intelligent marketing campaigns.  Your solutions will have a direct impact on marketing sales targets and P&L.
 

  • Design and build scalable and resilient Data Pipelines & Analytics solutions in Google Cloud Platform – architect technical solutions to obtain, process, store and provide insights based on processed data
  • Build data assets for machine learning purposes on Google Cloud Platform 
  • Work on automation and optimization of internal processes
  • Provide data analysis and standard reporting support 
  • Design, develop, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the ETL pipeline
  • Keep up to date with the evolving Cloud technology and Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies.

Qualifications

 

What you bring

 

 

  • Bachelors and/or Masters degree preferred
  • 5 years of experience in big data analytics and distributed systems
  • Experience in writing code/ETL processes/Monitoring processes on Google Cloud Platform
  • Knowledge of Big Data with a focus on data engineering; optimizing data, pipelines, ETLs
  • Experience implementing production level deployments at an enterprise scale on Google Cloud Platform
  • Strong coding and development skills in programming languages (e.g. Python, PySpark etc.)
  • A Strong understanding of data structures, databases, data lakes, and data ingestion and transformation routines

 

Great-to-have

 

 

  • Post graduate education in Data,Advanced Analytics, Computer Science Engg/Programming or any other relevant program
  • Certification on Google cloud or any other cloud platform
  • Machine Learning and AI, including classification, clustering, time series analysis, NLP, optimization, and deep learning experience or knowledge
  • Telecom industry experience
     

#LI-REMOTE

Apply now
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