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.

Career Family - AI&D: Solution Architect

Role Type - Full Time

Experience: 10+ years

The opportunity

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That's how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

We are seeking an experienced Solution Architect to design and deliver enterprise-scale data platforms and architecture solutions. This role will focus on building cloud-native data ecosystems, driving data platform modernization, and enabling advanced analytics and AI capabilities.

You will play a key role in defining architecture standards, guiding teams, and delivering scalable, secure, and high-performing solutions aligned with business objectives

Key Responsibilities

Solution Architecture & Leadership

Design and implement enterprise-grade data architecture using Azure services
Lead architecture for scalable, reliable, and cost-efficient data platforms
Define best practices, standards, and governance frameworks
Provide technical leadership, mentoring, and guidance to engineering teams
Collaborate with stakeholders to translate business requirements into solutions

Data Engineering & Pipeline Development

Architect and build production-grade data pipelines (ADF, Databricks)
Design batch and real-time data processing frameworks
Ensure efficient data ingestion, transformation, and orchestration
Implement data quality validation, reconciliation, and troubleshooting mechanisms

Data Platform & Modelling

Design and manage data storage using:

Azure Data Lake
Azure SQL / Synapse

Develop data models (star/snowflake schemas) optimized for analytics
Ensure performance, scalability, and consistency across platforms

Analytics & AI Enablement

Use Python for advanced data processing and analytics
Develop and maintain Jupyter Notebooks
Implement MLflow for experiment tracking and model lifecycle
Support Azure OpenAI and AI-driven solutions

BI & Data Consumption

Deliver curated datasets for Power BI and BI tools
Optimize data structures for reporting and dashboards
Ensure seamless integration between data platforms and visualization layers

Engineering Excellence

Implement CI/CD pipelines for data workloads
Enforce secure data handling and sensitive data protection
Monitor and resolve pipeline failures and performance issues
Drive automation, observability, and operational excellence

Governance & Compliance

Ensure compliance with data governance and regulatory requirements
Establish data lineage, auditing, and access control frameworks

Technical Skills

Required Skills & Qualifications

Strong expertise in:

Azure Data Factory
Azure Databricks
Azure SQL / Synapse
Azure Data Lake

Proficiency in Python for data engineering and analytics
Strong knowledge of data modeling (star & snowflake)
Experience with MLflow and notebook-based development
Strong understanding of pipeline monitoring and troubleshooting

Leadership & Core Competencies

Experience leading cross-functional engineering teams
Strong stakeholder management and communication skills
Ability to influence architectural decisions and drive best practices
Strategic mindset with focus on scalability and innovation

Nice to Have

Experience in regulated industries (banking, mining, etc.)
Exposure to Azure OpenAI and AI integrations
Knowledge of prompt engineering, evaluation, and experimentation frameworks

Education:

Degree: Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience

What We Offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

EY - GDS Consulting - AI And DATA - Data Engineer Solution Architect - Manager