EY - GDS Consulting - AI And DATA -AI Data Platform Architect/Lead - Manager

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-Consulting - Data and Analytics - AWS Data Platform Architect / Engineering Manager - / Manager / Lead Architect EY’s Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalise on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making.

Role AWS Data Platform Architect / Engineering Manager - Experience Guide

• Guide / 10+ years Primary Skill Area
• AWS Data Platforms, APIs, SageMaker, Data Security, Data SRE & Agentic Operations

The opportunity Provide architecture leadership, platform ownership and delivery governance for enterprise-scale AWS Data & AI platforms. The role is responsible for shaping AWS data platform strategy, leading modernisation and migration programmes, defining reusable engineering standards, integrating APIs and enterprise services, establishing Git/CI-CD practices, embedding Data SRE, strengthening data security and enabling agentic/AI-assisted operations across AWS-native data platforms.

Your Key Responsibilities

• AWS strategy, architecture and platform ownership
• Serve as design authority for AWS data platform initiatives across multiple domains, programmes and enterprise data products.
• Define target-state architecture using AWS Glue, Amazon S3, Athena, Redshift, EMR, MWAA/Airflow, Step Functions, Lambda, EventBridge, CloudWatch, Lake Formation and lakehouse patterns.
• Own architecture decisions for scalability, resilience, security, governance, observability, performance, maintainability, FinOps and production readiness.
• Create platform standards, reference architectures, reusable frameworks, migration playbooks and engineering governance for AWS data platforms.

APIs, service integration and AWS platform connectivity

• Lead API-led and service-based integration patterns across source systems, enterprise applications, SaaS platforms, data catalogues, governance tools, messaging services and downstream analytics/AI consumers.
• Define standards for REST APIs, event-driven ingestion, CDC, streaming, file ingestion, database integration, authentication, retries, error handling and dependency monitoring.
• Integrate AWS data platforms with enterprise services such as IAM, secrets management, network controls, monitoring, ticketing, metadata, lineage, access workflows and DevOps tools.
• Drive reusable integration frameworks using API Gateway, Lambda, EventBridge, Step Functions, Glue, EMR, MWAA, Kinesis and managed event-driven patterns where appropriate.

Git connectivity, DevSecOps and platform automation

• Establish Git connectivity across code repositories, branching strategy, pull requests, code reviews, release controls, artefact versioning and environment promotion.
• Lead CI/CD and Infrastructure-as-Code adoption using GitHub, Azure DevOps, Jenkins, Terraform/OpenTofu, CloudFormation and policy-as-code practices.
• Define automated testing, code scanning, dependency scanning, secrets management, configuration management, deployment validation and production release documentation standards.
• Promote automation for environment setup, monitoring, reconciliation, deployment validation, compliance evidence and support handover.

Data security, Immuta and governed AWS access

• Drive AWS security practices including IAM least privilege, KMS encryption, Secrets Manager, VPC endpoints, CloudTrail, logging, controlled data handlin…