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AI and Data - Data Architect (Databricks)EY • Toronto, ON, Canada
AI and Data - Data Architect (Databricks)

AI and Data - Data Architect (Databricks)

EY • Toronto, ON, Canada
30+ days ago
Job type
  • Full-time
Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The Opportunity

We are seeking a Manager/ Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical leadership background, hands experience with Data Bricks, Pursuits, proposal and delivery.

Key Responsibilities

As a Manager/ Data Architect, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues across different functions. We succeed when we combine high performing team members from a variety of backgrounds. We are therefore looking for individuals with industry, consulting, delivery or vendor backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.

Skills and Attributes for Success

  • The ability to provide excellent client service and manage and build strong relationships both internally and externally, coupled with a strong interest in further developing and integrating operations with technology skills
  • Provide architecture leadership & subject matter expertise to client engagements focusing on complex & innovative products and reusable assets
  • Develop solution plans, prior to kicking off a project as part of a product life cycle, intended to support business investment decisions which means they must hold the appropriate balance between costs, risks and quality of the product
  • Create innovative and practical designs that account for the end-to-end technical solution of a system, in line with the business strategy and objectives and within the context of EY's technology environment
  • Work closely and continuously with the business/client to focus on meeting business/client requirements and incorporating broader aspects such as overall product costs/revenue, data privacy & sovereignty, business continuity, information security, integration with other systems etc.
  • Identify, define and implementing reusable assets and standards. The data architect is also responsible for adherence to these standards and consumption of reusable assets across products and portfolios
  • Ensure relevant technical strategies, policies, standards, and practices are applied correctly across Technology programs/projects and products
  • Contribute to the development of architecture governance structures, methodologies, and compliance activities
  • Work with the vendors to assess vendor products, understand vendor's delivery models and assist in implementing them at EY
  • Ability to work across multiple projects with varied stakeholders. A Data Architect sets architectural direction, builds consensus, mediates conflicts providing technical leadership and advisory services to the business. He/she anticipates needs and potential objections and helps to create an environment which solicits positive contributions from all participants: Data and Technical Architects, engineering teams, product manager, project managers, product analysts, test and project teams, Information Security and Operations
  • Demonstrate excellent interpersonal communication and organizational skills that are required to operate as a leading member of global, distributed teams that deliver quality services and solutions.
  • Cultivate lasting relationships across business, IT and vendors / industry analysts to maintain insight into the broader enterprise as well as industry trends
  • Recognizes industry technology trends and emerging technologies, understands how they apply to EY and can drive their adoption into our organization
  • Evangelizes and encourages the importance of technical quality, emerging technologies, sharing & experimentation across the org through mentoring, hackathons, communities etc.
  • Drives an ongoing communication plan to educate stakeholders on the purpose and benefits of data architecture
  • Guide others in resolving complex issues in data architecture and solves complex, escalated aspects of a project
  • Monitor the progress and the quality of the project and reviews and develops due diligence to confirm the developed solution complies with architectural design

Qualifications

  • Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering, or a related field
  • Awareness of emerging issues, including regulations, industry practices and new technologies
  • Data Platform experience
  • Data Modelling skills
  • Databricks - Required
  • Azure Cloud
  • Data Engineering

Preferred Qualifications

  • Interest in Data Analytics along with experience in programming is a highly desired. You will need to demonstrate strong technical problem-solving abilities
  • Data Visualization
  • Microsoft Fabric
  • Unity Catalog
  • Data Bricks assets Bundles (DAB)
  • CI/CD
  • Data Migration

What We Look For

We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Advisory space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

What We Offer

  • Support and coaching from some of the most engaging colleagues in the industry
  • Learning opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that’s right for you

Toronto – $110,000 to $160,000

Are you ready to shape your future with confidence? Apply today.

Inclusiveness at EY

Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation.

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AI and Data - Data Architect (Databricks) • Toronto, ON, Canada

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