AWS Data Architect Senior Manager

Job title:

AWS Data Architect Senior Manager

Company

PwC

Job description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Technology StrategyManagement Level Senior ManagerJob Description & Summary PwC’s Cloud Computing and Networking practice helps our clients transform their business through innovative technology solutions and effective IT Service Management. Part of that journey includes helping our clients enable innovation, reinventing their customer experience, and exploring new markets.You will be immersed in a variety of different projects, groups, and locations while getting inspired through your community to grow as an individual as well as a team. Our diverse client service teams encourages out-of-the-box thinking, problem solving, great team mentality and a curiosity for understanding the latest in technology.We seek an experienced and forward-thinking Data Architect to join our rapidly expanding AWS Alliance team. This role is crucial in designing and delivering cutting-edge Data solutions that drive our clients’ success. In this role, you will play a pivotal part in designing, developing, and maintaining Data-related projects, enabling our client to deploy analytics, advanced analytics and AI models. Your expertise will be crucial in transforming consumable vast datasets into actionable insights, empowering our clients to achieve their business goals.Meaningful work you’ll be part ofDelivering Solutions:Requirements Gathering and Solutioning:Collaborate with stakeholders to gather and analyze requirements, providing clear project direction and prioritization.Identify customer pain points & objectives, relevant KPIs, and articulate solution impact.Conduct discovery sessions, analyze requirements, and design solutions.Design and implement processes for data acquisition, storage, transformation, and retrieval from various sources, ensuring data quality and integrity but also seamless integration of large-scale datasets allowing our clients to fully leverage the value of their investment into their Data Lake and alike.Technology Lead/SME:Lead project planning, execution, and delivery activities, ensuring alignment with business objectives, timelines, and quality standards.Identify, manage, and resolve any risks, issues, and blockers.As the SME on AWS Data technologies, serve as technical lead on customer engagements and internal initiatives, providing technical guidance and leadership to delivery teams.Providing leadership on engagements, including balancing team and individual responsibilities; building teams and consensus; getting things done through others not directly under their supervision; and working ethically and with integrity.Stay embedded with the Data delivery teams to understand functional and non-functional requirements, remove roadblocks, and analyze feasibility.Foster a culture of innovation and continuous learning within the team.Identify areas for improvement and increase the productivity of the Delivery team.Best Practices:Ensure the development of robust, scalable Data solutions and platforms by providing technical oversight and aligning with AWS best practices.Establish and maintain best practices for engagement delivery and leverage frameworks consistent with and supportive of the AWS Data technologies and architectural approach.Promote and ensure delivery teams’ adherence to Agile methodology and Scrum framework.Communication & reporting:Establish and ensure regular and effective communication with all required stakeholders, translating complex Data concepts into understandable insights and updates.Implement mechanisms to monitor, manage, and provide progress on all engagement activities and team performance and establish regular reporting to leadership.Supporting Data and AI Practice’s Growth and Operational Excellence:Hiring: Participate in interviews and other recruiting activities to ensure the hiring of the highest quality candidates.Sales: Support sales activities by meeting with potential customers, discovering and validating requirements, presenting solutions, presenting our team’s capabilities and offerings, performing technical validation, and reviewing Statements of Work (SoWs).Marketing & Brand Building: Participate in events (e.g., re:Invent, AWS Summits, etc.), produce thought leadership content (e.g., blogs, whitepapers), and develop demos.Coaching and Mentoring: Coaching and mentoring diverse people and perspectives.Learning:Maintains an in-depth knowledge of AWS cloud data and Data-related technologies and can articulate best practice approaches and practices.Maintain knowledge of various data and Data-related compliance and industry regulations to ensure consistent compliance with policies, standards, and tools and consistent enforcement with clients.Experience and skills you’ll use to solveData Expertise:Expert knowledge of Data concepts and methodologies, including databases, data lakes, data warehousing, data lakes, data governance, and data security.Expert knowledge in the data best practices captured by AWS Well-Architected Framework – Data Lens.Leadership:Demonstrable experience in consulting, architecting/solution, and leading multi-workstream Data engagements in an enterprise setting.AWS Data:Expert knowledge in AWS Data integration, ingestion, storage, processing, and visualization technologies across structured and unstructured data sources, along with various enterprise applications.Expert knowledge in modern data architecture and platforms, such as cloud, data mesh, data lakehouse, delta lake, and data warehousing.Experience in migrating data platform applications from on-prem to AWS.Code:Expert knowledge of SQL languages with a strong programming skill in Python or Spark/Scala.Advanced knowledge in code repositories, code development processes, and code reviews.AWS Infrastructure & AI:Expert knowledge in AWS infrastructure technologies, such as CDK, CloudFormation, AWS Step Functions, EC2, and IAM).Demonstrable knowledge in Amazon Bedrock and SageMaker JumpStart.Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively.Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Autonomy: Ability to work independently and in a team.Learning: An interest in continuously upskilling for a digital-first world and embracing technology trends, an openness to learning new tools, and adapting how you work.Education: Bachelor’s degree in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics). A master’s or PhD degree in a relevant field is a bonus.Certifications: AWS certifications are a bonus.Why you’ll love PwCWe’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwcThe most connected firm through activity based workingPwC Canada is committed to cultivating an inclusive, hybrid work environment – one that is collaborative, supportive and productive. We work in-person and virtually, as is best suited for our clients, teams and people. We want you to be intentional with your work, how you do it and where it’s done. PwC offices are hubs of connectivity and learning. We strongly encourage our people to prioritise in-person work. We know that hybrid work is all about balance, and capturing the benefits of in-person work is essential to your growth at the firm. Exact expectations for your team can be discussed with your interviewer.Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsOptional SkillsDesired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End DateAt PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We’re committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.We’re committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.To learn more about inclusion and diversity at PwC Canada: https://www.pwc.com/ca/en/about-us/diversity-inclusion.html. Be a part of The New Equation.Chez PwC Canada, notre atout le plus précieux, c’est notre personnel. Et c’est en apprenant les uns des autres que nous devenons plus forts. Nous avons à cœur de créer une communauté équitable et inclusive de professionnels de la résolution de problèmes, dans laquelle chacun se sent vraiment à sa place. Nous savons que l’expérience peut prendre diverses formes et, pour nous, donner confiance au public et résoudre des problèmes importants n’est possible que si notre milieu de travail reflète la diversité de la société dans laquelle nous vivons.Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.Pour en savoir plus sur l’inclusion et la diversité chez PwC Canada: https://www.pwc.com/ca/fr/about-us/diversity-inclusion.html. Faites partie de La Nouvelle équation.

Expected salary

Location

Toronto, ON

Job date

Sat, 31 Aug 2024 05:43:01 GMT

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