EY - GDS Consulting - AI AND DATA - Senior Platform Architect- Senior

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. 

EY GDS – Data and Analytics (D&A) – Platform Architect

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We are looking for a highly experienced and strategic Platform Architect to lead the design and implementation of scalable, secure, and high-performing cloud-based data platforms. The ideal candidate will have deep expertise in cloud-native services (preferably AWS, Azure, or GCP), data engineering, and architecture governance. This role will be instrumental in driving the data modernization initiatives, enabling advanced analytics, AI/ML, and real-time data capabilities across the enterprise.

Your key responsibilities

• Lead the architecture and design of modern cloud-based data platforms (Data Lakes, Data Warehouses, Lakehouses).
• Define end-to-end architecture including ingestion, storage, processing, orchestration, security, and consumption layers.
• Partner with stakeholders across engineering, analytics, security, and product to translate business needs into scalable architecture solutions.
• Ensure platform scalability, reliability, and performance while optimizing cost.
• Provide thought leadership and guide development teams on cloud best practices, tools, and frameworks.
• Govern architecture standards, patterns, and reusable components.
• Design and implement CI/CD pipelines, data lineage, and metadata management frameworks.
• Oversee the integration of various data sources including structured, semi-structured, and streaming data.
• Ensure compliance with data governance, privacy, and security standards (GDPR, HIPAA, etc.).
• Conduct regular design reviews and provide technical guidance to delivery teams.
• Stay up to date on latest trends in cloud data platforms and emerging tech (Delta Lake, Iceberg, MLOps, Generative AI integration).
• Evaluate and onboard new tools/technologies via POCs and architecture assessments.
• Contribute to internal communities of practice and technical mentoring for junior architects and engineers.

Skills and attributes for success

• 15-20 years of experience in IT with a strong background in data and platform architecture.
• Proven experience architecting and delivering cloud-native data platforms on AWS, Azure, or GCP.
• Expertise in data engineering tools and frameworks like Databricks, Apache Spark, Airflow, Kafka, Snowflake, BigQuery, Redshift, etc.
• Strong understanding of data architecture patterns – Data Mesh, Lakehouse, Lambda/Kappa architectures.
• Experience with DevOps, CI/CD, Infrastructure-as-Code (IaC) using Terraform, ARM, or similar implementation exp (certification is nice to have)
• Deep understanding of security, governance, lineage, and monitoring in a cloud data ecosystem.
• Ability to evaluate and recommend modern data technologies and architecture patterns.
• Strong leadership, communication, and stakeholder management skills.
• Understanding of DevOps tooling and integration across cloud
• Experience implementing vendor products on Cloud or integrating SaaS platforms such as Snowflake into an Enterprise (including AD integration, SSO using Pingfed/Okta, etc)
• Professional level certification of at least one cloud platform (this covers for platform specific details around networking, vpc, etc)

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Kubernetes / Docker -usually inference end points are required to be published as API endpoint.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Financial Service especially Insurance domain.
• Certification in AWS/Azure/GCP architecture or data engineering.
• Experience working in Agile/SAFe environments.
• Exposure to AI/ML pipeline architecture and MLOps is a plus.

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• 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

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.