DE-Cloud Native Data Architect-AWS-GDSN02

EY; Bengaluru; On-site; INR 3,600,000 - 6,000,000; Full time

Benefits offered by this job

Continuous learning

Data-driven, flexible working culture

Diverse and inclusive culture

Job summary

EY is seeking an experienced AWS Cloud Data Architect in Bengaluru to lead enterprise data platforms, governance, and modernization across multi-program deployments on AWS. You will define architecture standards and drive strategic data initiatives for financial services and other industries.

Lead architecture reviews, mentor teams, and collaborate with executives to shape data transformation. Opportunity to advance GenAI-enabled analytics and scalable data platforms within a global EY ecosystem.

Qualifications

• Proven experience in enterprise data architectures on AWS.
• Experience leading data modernization and migration initiatives.
• Strong governance, metadata, and data quality knowledge.

Responsibilities

• Define enterprise data architecture vision, standards, and roadmaps aligned with business objectives.
• Lead design of data platforms on AWS (data lakes, lakehouses, data warehouses, analytics ecosystems).
• Drive governance, security, cost optimization, and resiliency across programs.
• Mentor architects and engineers; support pre-sales and proposals.

Skills

AWS Data & Analytics

Data Lakes / Lakehouse

Data Modeling

Leadership & Stakeholder Mgmt

GenAI / AI analytics

Education

Bachelor's degree in CS/Engineering/IT

Tools

Databricks

Snowflake

Apache Airflow

DBT

Matillion

AWS services (S3, Redshift, Glue, EMR, Athena, Lambda)

Job description

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 : AWS Cloud Data Architect

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.

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

• 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.