Data Solutions Architect

Job details
Job type
Full-time
 
Location
250 Yonge Street, Toronto, ON M5B 2L7
 
Full job description
Location: Toronto- onsite downtown 3 days a week.

Are you a Data Architect or a Senior Data Engineer interested in working in a talented and collaborative team developing Cloud, Data and AI solutions for leading global clients? Do you regularly find yourself in conversations on disparate and dispersed data sources and feel the need to create a robust data engineering infrastructure to sort that mess out? If you have that hands-on technical expertise of enabling data engineering, designing data architectures, a genuine flair for solving data problems, and the mindset to collaborate with diverse clients and team members alike, we're looking for you.

The ET (Emerging Technologies) team in Global Technology and Operations (GTO) Canada at CGI is a trusted Data, Cloud and Advanced Analytics advisor and go-to implementation partner for our global clients data needs. We're an entrepreneurial team that is on a continuous mission to position CGI as the best-in-class Cloud and Data partner and develop new and exciting opportunities in latest technologies. In our endeavor to provide end-to-end Cloud and Machine Learning capabilities, we start with learning about the clients` business and data landscape, assess possible opportunities, help shortlist and turn those opportunities into action, and then scale it across the organization unlocking a larger impact for clients and their consumers. For this, we depend on a talented and motivated team of Data Architects, Data Scientists, Data Engineers, Cloud DevOps professionals, Cloud Architects and other solutions experts.

*This is a hands-on architect role with responsibility to lead teams of technical members*

Your future duties and responsibilities

As a Data Solutions Architect/Senior Data Engineer on this team your main responsibilities will include:
Working HANDS-ON on client engagements and managing E2E client engagements as the Senior Data Architect and Tech Lead
Creating data architectures, data pipelines, and data flows for requirement at hand
Delivering on areas of data preparation and transformations and ETL or ELT development on Azure/AWS/GCP/Snowflake
- Strong knowledge on Data Warehousing, Data Lakes and Delta Lakehouse Architectures and building strong Solutions Arhitectures- Creating client proposals for ML/AI and Data projects
Mentoring junior Data Engineers, Data Scientists and Data professionals in the team
Thought leadership amongst clients and the industry

Other responsibilities:
Strategically collaborating with the clients to explore and deliver key foundational data-driven solutions
Delivering strong Solution Architectures for clients and CGI
Delivering on areas of data preparation and transformations and ETL or ELT development both on-prem or on-cloud
Building Data Engineering pipelines and architectures on cloud (Azure, AWS, GCP and others)
Working in a business environment with large-scale, complex and big data datasets and dispersed data sources
Using Advanced SQL and Python skills as necessary
Gathering client requirements, coding and implementing data solutions while leading a small team
Implementing proof of concepts to show value and then package and scale to full data engineering scale on both on-prem and cloud environments
Required qualifications to be successful in this role

Essential Qualifications
6+ years relevant hands-on experience in Solutions Architecture, Data Architecture, Data Engineering or Data Science with ++ years of overall experience
Experience consulting clients or stakeholders on Data and AI engagements
Hands-on experience with latest tools and at least one modern cloud platform (Azure, AWS, GCP etc.)
Data analysis, storage, data pipelines, and orchestration
Expert Python and SQL skills
Experience working on Big Data
Excellent communication and team working skills
English language is mandatory; French language is nice to have

Nice to Have Qualifications
Consulting background is an asset
Experience with building client proposals and sales enablement is an asset
Experience with ML projects is an asset
Experience with data pipeline and workflow management tools eg. Airflow, Jenkins etc.
Experience in a variety of tools like Azure Data Factory, Dbt, Google Dataflow, Qlik Compose, AWS Data Pipeline or Glue, Talend, Microsoft SSIS, IBM Datastage, Informatica
Experience with GenAI projects is valuable

#LI-AB1+
Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.

Come join our team—one of the largest IT and business consulting services firms in the world.

 
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