DE-Cloud Native Data Architect-AWS-GDSN02

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 looking for an experienced AWS Cloud Data Architect – Senior Manager to lead the design and implementation of enterprise-scale cloud data platforms and modernization programs. The individual will be responsible for defining data architecture strategy, governing enterprise data assets, leading architecture decisions, and guiding engineering teams in delivering scalable, secure, and business-aligned data solutions on AWS. This role requires strong stakeholder management, solution leadership, and the ability to drive data transformation initiatives across complex enterprise environments.

EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering (DE) practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation.  We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization.  Through our unique combination of competencies and solutions, EY’s DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations.

Your key responsibilities

Data Strategy & Architecture Leadership

• Define enterprise data architecture vision, standards, and roadmaps aligned with business objectives.
• Lead the design of modern data platforms, data lakes, lakehouses, data warehouses, and analytics ecosystems on AWS.
• Establish architecture principles, governance frameworks, and best practices across multiple programs and accounts.
• Drive cloud data modernization, migration, and transformation initiatives.

AWS Data Platform Architecture

• Architect scalable and secure solutions leveraging AWS services such as S3, Redshift, Glue, EMR, Athena, Lambda, Lake Formation, Kinesis, and Bedrock.
• Define reference architectures for batch, streaming, real-time analytics, and AI/ML workloads.
• Ensure adherence to AWS Well-Architected Framework, security standards, and cost optimization principles.
• Drive data platform resiliency, observability, and performance optimization.

Enterprise Data Governance

• Define and implement data governance, metadata management, data quality, lineage, and master data management frameworks.
• Partner with security and compliance teams to ensure regulatory compliance (GDPR, HIPAA, etc.).
• Establish enterprise-wide standards for data modeling and information architecture.

Leadership & Stakeholder Management

• Engage with client executives, business leaders, and technology stakeholders to define data transformation strategies.
• Lead architecture review boards and provide direction to solution architects and engineering teams.
• Mentor architects, engineers, and technical leads across engagements.
• Support pre-sales activities, solution shaping, estimations, and proposal development.

AI & Advanced Analytics

• Define architecture patterns for GenAI and AI-driven analytics solutions.
• Drive adoption of AWS AI services and integration of GenAI capabilities into enterprise data platforms.
• Collaborate with data science teams to enable scalable AI and ML solutions.

Skills and attributes for success

• 12–18+ years of overall IT experience, including 8+ years of experience in Data Architecture and Cloud Architecture, with a proven track record of designing and delivering enterprise-scale data platforms on AWS.
• The candidate should possess deep expertise in AWS Data & Analytics services including Amazon S3, Redshift, Glue, Athena, EMR, Lambda, Lake Formation, Kinesis, and IAM.
• Must have extensive experience architecting Data Lakes, Lakehouse Architectures, Data Warehouses, and Real-Time Data Platforms.
• A strong understanding of data modelling (conceptual, logical, and physical), data governance, data security, metadata management, data quality, and data lineage is essential.
• The role requires experience leading large-scale cloud modernization and data migration initiatives.
• Excellent stakeholder management, executive communication, and consulting skills to engage effectively with business and technology leadership teams.
• Hands-on experience in designing and implementing Generative AI-enabled data architectures, including building data foundations for Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, vector databases, semantic search, knowledge graph solutions, and AI-powered analytics platforms.

Preferred Qualifications:

• AWS certifications such as AWS Certified Solutions Architect – Professional and AWS Certified Data Analytics/Data Engineer are highly desirable.
• Experience with modern data platform technologies including Databricks, Snowflake, Apache Airflow, DBT, and Matillion will be advantageous
• Experience with data governance frameworks and compliance standards (e.g., GDPR, HIPAA).

Education:

• Degree: Bachelor’s degree in computer science, Engineering, Information Technology, 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 flexibil