Data Engineer/Architect

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

This multifaceted role is pivotal in transforming clients' operations through the power of data. By driving data strategy and governance, along with designing advanced architectures and models, the Data Engineer/Architect ensures that organizations can harness their data effectively and intelligently. Whether through crafting innovative solutions, streamlining data pipelines, or implementing cutting-edge platforms, this position is dedicated to empowering clients to achieve their goal of becoming truly data-driven. Furthermore, the work spans across diverse technologies and industry sectors, providing a dynamic and enriching environment to address unique challenges and opportunities in various fields.

Key Responsibilities

Define, guide, and advise clients on developing data strategies that embrace innovation and drive transformative outcomes.
Gather, challenge, and prioritize clients' data requirements to ensure solutions are tailored to their unique needs. Engage with clients to understand their business realities, identifying key pain points and uncovering data-driven opportunities. Collaborate with business leaders to align data strategies with overarching business goals, ensuring a seamless integration between technology and organizational objectives.
Innovation & Transformation:

• Define and design cutting-edge Data & Analytics architectures and solutions that enable businesses to harness the full potential of their data assets.
• Oversee and develop advanced data platforms, including data acquisition and integration, data modeling, transformation, and quality processes, as well as master data management, data warehousing, data lakes, ontologies, and metadata layers. 
• Support the strategy, planning, and implementation of data design services by providing sizing and configuration guidance and conducting thorough needs assessments. Collaborate with other architects to implement complex, end-to-end enterprise solutions that integrate seamlessly into existing ecosystems.

Technology:

• Evaluate and select tools and components essential for optimal data management and analytics capabilities, ensuring innovative solutions are implemented effectively.
• Develop and maintain comprehensive data lake and data warehouse schematics, layouts, architectures, and relational/non-relational databases to enable robust data access and advanced analytics.
• Define, design, and implement efficient data ingestion flows and data pipelines, ensuring high performance and scalability for large-scale data operations.
• Take an active role in coaching and developing junior consultants, fostering an innovative and collaborative team environment. Support business development activities by contributing thought leadership and technical expertise to strengthen client relationships and drive new opportunities.

Skills and Attributes for Success

• Proven track record and experience in data strategy, architecture, data modeling, data governance, AI, Machine Learning, and data platform design.
• Experience with Big Data technologies, containerization platforms, databases (SQL and NoSQL), and cloud platforms such as AWS, Azure, and Google Cloud.
• Good understanding of ETL, ELT, data ingestion/cleansing, and engineering skills. Knowledge of Python, Java and other programming languages a plus.
• Excellent communication and presentation skills, ability to adapt quickly and positively to change, strong analytical and problem-solving skills.
• Eager to learn and grow professionally.
• Must have a strong entrepreneurial and team spirit, balanced by a healthy sense of autonomy.

Qualifications

• Bachelor or Master’s Degree in Artificial Intelligence, Information Systems, Software Engineering, or other related fields.
• At least 3 years’ experience in software engineering, data strategy, technology consulting, or similar roles.
• Understanding of the different data architecture patterns is a real asset.
• Excellent English communication skills. A good level of another foreign language would be an asset. 

What we offer

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. 

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

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