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    Cloud Data Architect - Toronto, Canada - CGI

    CGI
    CGI Toronto, Canada

    1 week ago

    CGI background
    Full time
    Description

    Position Description:

    Your mission as a Cloud Data Architect -Presales and Strategy within CGI, involves leading initiatives to architect, model, and design robust Analytics, Big Data, and AI solutions that align with the organization's strategic goals.

    Reporting to the Director, Consulting Services for the Analytics and AI practice, the Cloud Data Architect collaborates closely with cross-functional teams to define data strategy, develop data architecture, and drive innovation and thought-leadership in data management practices, frameworks with a primary focus on client facing pre-sales consulting.

    We have an excellent opportunity for a Cloud Data Architect to bring forth high valued thought leadership, deep data expertise in a consulting environment and pave the way for the capabilities and offerings of tomorrow within the domains of Cloud, Advanced Analytics, and AI technologies. This is a pre-sales role that places significant emphasis on solution-based selling with a consultative based mindset.

    Working closely with our business partners, this successful candidate will be part of a practice team that advocates for the use of advanced Analytics, Big Data, an AI technology to solve business problems, deliver modern solutions, and be a thought leader; all while building credibility and business relationships with two of our main CGI stakeholders: the client and our member-partners.

    Your future duties and responsibilities:


    • Build, own, and run data engineering pipelines, workflows and standardized practices for delivering new products and capabilities using Data and Cloud technologies, including data transformation, processing and analysis.

    • Participate in all aspects of Data solution architecture and solution design using cloud technologies(GCP, AWS, Azure) firstly

    • Develop architectural strategies for data modeling, design, and implementation to solve business problems outlined in existing client requests and bid proposals (RFP, RFS, RFI)

    • Develop existing and prospective client facing presentations to support conversations starters and deep dives in the field of Advanced Analytics, Data Warehousing, Big Data, and AI.

    • Develop and execute pre-sales strategies to identify new business opportunities, engage with potential clients, and position the GTA Analytics and AI practice as a trusted advisor.

    • Research new technologies, frameworks, and , and thought leadership within the industry to determine which should be incorporated into company data architectures and GTM material.

    • Ensure Big Data practices integrate into overall data architectures and data management principles (e.g., data governance, data security, metadata, data quality).

    • Facilitate discovery workshops, articulate the value proposition, build solution architecture with an associated roadmap, and communicate business value to existing and prospective clients

    • Establish best practices and consistency across various Data on Cloud solutions. Design and build highly reusable and scalable cloud-native data and AI ecosystems.

    • Partner work collaboratively with our Sales and Engagement management teams to develop proposals, business cases, and bid responses (RFP/RFS/RFI) for a wide range of Analytics and AI related system integration and consulting opportunities projects.

    • Assist in the development of comprehensive and use case ideation leveraged at management and executive levels for investment and scoping decisions on Big Data, and AI/ML solutions.

    Required qualifications to be successful in this role:


    • Bachelor's and/or Master's degree in computer science, Information Technology, Engineering or a related field and disciple is required

    • 10+ Years' Experience – at least 7 years in a Cloud Solution and Data Architecture role

    • Extensive experience of driving pre-sales and consulting activities to implement data strategy and architecture.
    Previous sales experience within IT and consulting is considered an asset.

    • Love solving complex problems, be up to date on the latest technology trends and have a strong desire to learn constantly.

    • At least 4 year of previous experience crafting technical capabilities into turn-key offers within a Data practice setting.

    • 5+ years' experience in developing data pipelines and workflows using technology from the cloud solution platforms, including; GCP, Azure, and AWS.

    • Extensive experience with data integration tools and ETL processes.

    • Experience in traditional ETL tools & Data Warehousing architecture.

    • Strong interpersonal and excellent written and verbal communication skills, combined with comprehensive, practical experience and knowledge in end-to-end delivery of Big Data solutions.

    • Highly collaborative, with high end consulting skills and the drive to solve multifaceted problems with minimal supervision.

    • Must be a self-starter that is motivated by ambiguity with the ability to indirectly influence others in a large matrix organization structure.

    Preferred Qualifications:

    • Relevant certification in data architecture or related field (i.e., Certified Data Management Professional (CDMP), TOGAF, or equivalent),

    • SAFe certified

    • Google, AWS, and Microsoft Azure certified in Cloud Data Architecture.

    • Advanced Cloud data technologies in ML space (Vertex AI, BQ-ML etc.)

    • Experience in GCP/AWS/Azure Data platforms

    • Experience in data visualization tools such as Google Looker, MicroStrategy, Kibana

    • Knowledge of predictive analytics techniques (e.g., predictive modeling, statistical programming, machine learning, analytics, data visualization).

    • Familiarity with different development methodologies (e.g., waterfall, agile, XP, scrum)

    • Experience working in a high paced, rapidly changing, and evolving environment using a hybrid model approach of both in-office and remote working arrangements

    #LI-KM1

    Skills:

  • Solution Analysis
  • Solutions Architecture
  • Cloud Computing
  • Data Architecture
  • Google Cloud Platform
  • Requirements Analysis
  • Telecommunications
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