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Enterprise Architect, Omnia AI

Reference ID: 534837900

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Job Type:   Permanent  
Primary Location:  Montreal, Quebec, Canada  
All Available Locations:  Montreal  
Job Description
Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client's transformative journey with disciplined focus on business outcomes.
As a member of our Data Transformation team, you will help our clients design and implement the data platform architectures - be it in the cloud or on-premise - required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.
Your role at Deloitte
As an Enterprise Architect, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.
In this role, you will:
  • Be instrumental in growing and mentoring a pool of talented Data Transformation practitioners, participate in and drive sales opportunities, and display eminence in modern data architectures across Omnia AI, Deloitte and the external marketplace
  • Lead, define and implement end-to-end modern data platforms in support of analytics and AI use cases
  • Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
  • Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations


Dans l'exercice de vos fonctions, vous devrez :
  • Jouer un rôle essentiel dans le perfectionnement et l'encadrement d'un bassin de professionnels de la transformation des données talentueux, participer à des occasions de vente et en créer, et afficher une notoriété en architecture de données moderne au sein d'Omnia AI et de Deloitte, et sur le marché externe.
  • Diriger, définir et mettre en œuvre des plateformes de données modernes de bout en bout pour soutenir les cas d'utilisation d'analytique et d'IA.
  • Collaborer avec d'autres architectes d'entreprise, des architectes de données, des développeurs et ingénieurs des processus d'extraction, de transfert et de chargement, des scientifiques de données et des concepteurs d'information pour diriger la détermination et la définition des capacités requises sur le plan des structures de données, des formats, des pipelines, des métadonnées et de l'orchestration des charges de travail.
  • Gérer des aspects comme la confidentialité et la sécurité des données, l'intégration et le traitement des données, l'entreposage et le calcul des données, l'analytique et la consommation opérationnelle, la modélisation des données, la virtualisation des données, la préparation et l'analytique des données libre-service, l'habilitation dans le domaine de l'IA et l'intégration des API.
Qualifications
  • Avoir au moins 7 années d'expérience dans la direction de missions de la conception jusqu'à la mise en œuvre de solutions de données créatives fondées sur les plus récents cadres de données massives, soutenant les architectures sur place, infonuagiques (AWS, Azure, GCP) et hybrides afin de favoriser des cas d'utilisation en analytique et en IA.
  • Avoir au moins 7 années d'expérience dans la conception d'architectures de solutions pour l'extraction, la transformation et le chargement optimaux de données d'une grande variété de sources traditionnelles et non traditionnelles comme les bases de données structurées, non structurées et semi-structurées SQL et NoSQL et les pipelines de données pour les charges de travail en temps réel, en continu, en lot et sur demande.
  • Avoir au moins 5 années d'expérience dans la formulation de stratégies d'analytique/de gestion de données, la conception de plans d'architecture, l'élaboration d'analyses de rentabilité et l'estimation des efforts d'analyses fondées sur les technologies perturbatrices.
  • Avoir la capacité de simplifier des concepts techniques complexes dans un langage non technique facile à comprendre afin de communiquer et d'interagir avec les dirigeants et les parties prenantes de l'entreprise et de les aider.
  • Posséder de l'expérience avec les méthodes de développement Agile dans les projets axés sur les données.


Qualifications
  • 7+ years experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (AWS, Azure, GCP) and hybrid architectures to enable use cases in analytics and AI
  • 7+ years experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
  • 5+ years experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
  • Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders
  • Experience with Agile development methods in data-oriented projects
  • Demonstrated experience with business development, including develop/maintain contact with top decision makers at key clients; organize and lead pursuit teams; participate and lead aspects of the proposal development process; contribute to the development of proposal pricing strategies
  • Demonstrated experience with managing implementation engagements end-to-end including lead planning & budgeting; mobilize and manage engagement teams; define deliverable structure and content; facilitate buy-in of proposed solution from top management to all levels; direct on-time, quality delivery of work products; manage engagement economics, issues and risks
  • Demonstrated experience with developing and growing talent, including mentorship; provide guidance to the resource allocation process; actively participate in recruiting and retention activities; provide leadership and support for delivery teams and staff in local offices
Strong candidates will also have some of the following capabilities:
  • TOGAF certification is an asset, as well as certifications in data engineering and development from AWS, Azure, GCP and/or Hadoop distributions
  • Subject matter data expertise in Financial Services (Banking, Insurance), Consumer Products (Retail), Energy & Resources, Life Sciences (Healthcare) and Government (Transport, Higher Ed, Social Services) industries
  • Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments
  • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, Bitbucket, etc.
  • Bachelor's Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired
If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Enterprise Architect role is just the first step of a highly successful career we can help you build.
The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

Why Deloitte?
Launch your career with The One Firm where you can make a greater impact than you ever thought possible. With endless opportunities at every turn, and a culture built to support and drive our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, and lead.
At Deloitte, we understand that everyone, and their career goals, are different. As a firm, we help create the conditions and opportunities that will enable our people to thrive - both professionally and personally. We do this by making three commitments to our people:
  • You will lead at every level: We grow the world's best leaders so you can achieve the impact you seek, faster.
  • You can work your way: We give you the means to work how you want, and we have innovative spaces and the mindset to help you be wildly successful.
  • You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
Apply now and let us show you how to push your career to the next level at Deloitte. The One Firm. For You.
Deloitte is an inclusive employer dedicated to building a diverse workforce.  We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective provincial human rights codes throughout all stages of the recruitment and selection process. Please advise the Recruiter to ensure your accessibility needs are accommodated throughout this process.  Information received relating to accommodation will be addressed confidentially.
We thank all applicants in advance for their interest; however, only those candidates selected for an interview will be contacted
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Posted: April 22, 2019
Closes: June 21, 2019