DE - Cloud Data Engineer - AWS - GDSN02

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. 

 

 

 

 

AWS Cloud Data Engineer

 

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 a highly skilled AWS Data Engineer to lead the design, development, and implementation of modern cloud-native data platforms and analytics solutions on AWS. In this role, you will be responsible for defining scalable, secure, and high-performance data architectures that enable organizations to unlock business value from their data assets. You will work closely with business stakeholders, data engineers, application teams, data scientists, and enterprise architects to deliver end-to-end data solutions that support analytics, reporting, AI/ML, and Generative AI initiatives.

 

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 Architecture & Solution Design

• Design and implement scalable, secure, and high-performing cloud-native data architectures on AWS aligned with business and enterprise objectives.
• Define solution architectures, architecture patterns, and best practices for Data Lakes, Lakehouse platforms, Data Warehouses, and Real-Time Data Processing solutions.
• Produce architecture blueprints, technical designs, and implementation roadmaps for data modernization and transformation initiatives.
• Ensure solutions adhere to enterprise security, governance, compliance, reliability, and cost optimization standards.

 

AWS Data Platform Implementation

• Architect and guide the implementation of AWS-based data solutions leveraging services such as Amazon S3, Redshift, Glue, Athena, EMR, Lambda, Lake Formation, Kinesis, and IAM.
• Lead the design of batch, streaming, and real-time data processing pipelines supporting analytics, reporting, and business intelligence requirements.
• Establish observability, monitoring, and data quality frameworks to improve platform reliability and operational efficiency.
• Support performance tuning, scalability improvements, and optimization of enterprise data platforms.

 

Data Governance & Information Management

• Define and implement data modeling standards, metadata management, data governance, and data lifecycle strategies.
• Collaborate with security, risk, and compliance teams to ensure adherence to organizational and regulatory requirements.
• Promote best practices around data quality, lineage, stewardship, and master data management.

 

AI, Analytics & GenAI Enablement

• Design modern data architectures that support analytics, machine learning, and Generative AI use cases.
• Build data foundations for Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, semantic search, and AI-powered applications.
• Leverage AWS AI services such as Amazon Bedrock, SageMaker, OpenSearch, Textract, and Comprehend to deliver intelligent data solutions.
• Partner with data scientists and analytics teams to operationalize AI and GenAI capabilities at scale.

 

Stakeholder Management & Technical Leadership

• Collaborate with business stakeholders, product owners, architects, and engineering teams to translate business requirements into scalable technical solutions.
• Lead architecture reviews, design workshops, and technical discussions with clients and internal teams.
• Provide technical leadership, mentoring, and guidance to data engineers and development teams throughout the project lifecycle.
• Support solutioning, estimation, proposal development, and technical reviews for new opportunities.

 

 

Skills and attributes for success

 

• 4 - 7+ years of overall IT experience, including 3+ years in Data Architecture, Data Engineering, and Cloud Architecture, with a proven track record of designing and delivering scalable, cloud-native data platforms on AWS.
• Strong expertise in AWS Data & Analytics services including S3, Redshift, Glue, Athena, EMR, Lambda, Lake Formation, Kinesis, and IAM, with hands-on experience architecting and implementing enterprise-grade data solutions.
• Extensive experience designing and delivering Data Lakes, Lakehouse Architectures, Data Warehouses, and Real-Time Data Platforms, along with a strong understanding of data modeling, governance, security, metadata management, data quality, and data lineage.
• Proven ability to define solution architectures, architecture artifacts, reference designs, and technical roadmaps, while guiding engineering teams and ensuring alignment with AWS Well-Architected Framework and enterprise standards.
• Experience in cloud migration, modernization, and data transformation initiatives, with the ability to collaborate effectively with business stakeholders, architects, engineers, and delivery teams.
• Hands-on experience with AI/ML and Generative AI-enabled data platforms, including LLMs, RAG, vector databases, semantic search, and AI-powered analytics solutions, leveraging services such as Amazon Bedrock, SageMaker, OpenSearch, Textract, and Comprehend, complemented by strong communication, stakeholder management, consulting, and technical leadership skills.

 

 

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 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.