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**Data Platform Architect - Manager | EY** Manage & design scalable, cloud-native/hybrid data platforms enabling analytics & AI. Lead engineering teams, optimize performance, embed data controls, & ensure compliance. 10+ years' experience in data architecture/engineering required. Proven cloud & hybrid platform delivery. Strong understanding of data modeling, pipeline design, & modern data stacks. International travel up to 40% mandatory. Build a better working world with EY.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
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.
