Data Platforms Architect Manager

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Data Platform Architect

• Lead the design and realization of scalable cloud-native and hybrid data platforms and architectures that enable analytics AI and enterprise data operations.

KEY RESPONSIBILITIES

Data Platform Engineering

• Lead design of modern data platforms (lakehouse distributed data platforms) on cloud and for hybrid deployments
• Define platform components including storage compute and serving layers
• Enable scalable and performant data processing using batch and streaming frameworks

Data Integration & Pipelines

• Define and implement ingestion and transformation frameworks.
• Standardize pipeline design for reliability reusability and performance
• Ensure efficient data movement across internal and external systems

Performance & Reliability

• Optimize data platforms for scalability cost and latency
• Define monitoring observability and failure handling mechanisms

Platform Controls & Enablement

• Embed data lifecycle controls including ingestion validation processing standards and consumption readiness
• Align platform design with security access control and compliance requirements
• Enable self-service data access and standardized data consumption patterns

Delivery & Stakeholder Management

• Act as design authority for data platform and architecture workstreams
• Collaborate with business analytics engineering and governance teams
• Lead solution design technology selection and implementation oversight

KEY QUALIFICATIONS

• 10 years of experience in data architecture data engineering or enterprise data platforms.
• Proven experience designing and delivering large-scale cloud and hybrid data platforms.
• Experience with modern data stacks (e.g. Databricks Snowflake) and cloud services.
• Deep understanding of data modeling distributed processing and data pipeline design.
• Experience implementing scalable ETL/ELT and streaming architectures.
• Familiarity with data security access control and platform governance considerations.

International travel in the region (up to 40%) is required.

EY Building a better working world

EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.

Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.

Required Experience:

Manager