EY - GDS Consulting - AI And DATA - Data Engineer Solution Architect - Manager
EY
- Location
- Bengaluru, KA, IN, 560048
- Work model
- On-Site
- Level
- Staff
Skills
About this role
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 - AI&D: Solution Architect Role Type - Full Time Experience: 10+ years 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 an experienced Solution Architect to design and deliver enterprise-scale data platforms and architecture solutions. This role will focus on building cloud-native data ecosystems, driving data platform modernization, and enabling advanced analytics and AI capabilities. You will play a key role in defining architecture standards, guiding teams, and delivering scalable, secure, and high-performing solutions aligned with business objectives Key Responsibilities Solution Architecture & Leadership
Design and implement enterprise-grade data architecture using Azure services Lead architecture for scalable, reliable, and cost-efficient data platforms Define best practices, standards, and governance frameworks Provide technical leadership, mentoring, and guidance to engineering teams Collaborate with stakeholders to translate business requirements into solutions
Data Engineering & Pipeline Development
Architect and build production-grade data pipelines (ADF, Databricks) Design batch and real-time data processing frameworks Ensure efficient data ingestion, transformation, and orchestration Implement data quality validation, reconciliation, and troubleshooting mechanisms
Data Platform & Modelling
Design and manage data storage using
Azure Data Lake Azure SQL / Synapse
Develop data models (star/snowflake schemas) optimized for analytics Ensure performance, scalability, and consistency across platforms
Analytics & AI Enablement
Use Python for advanced data processing and analytics Develop and maintain Jupyter Notebooks Implement MLflow for experiment tracking and model lifecycle Support Azure OpenAI and AI-driven solutions
BI & Data Consumption
Deliver curated datasets for Power BI and BI tools Optimize data structures for reporting and dashboards Ensure seamless integration between data platforms and visualization layers
Engineering Excellence
Implement CI/CD pipelines for data workloads Enforce secure data handling and sensitive data protection Monitor and resolve pipeline failures and performance issues Drive automation, observability, and operational excellence
Governance & Compliance
Ensure compliance with data governance and regulatory requirements Establish data lineage, auditing, and access control frameworks
Required Skills & Qualifications Technical Skills
Strong expertise in
Azure Data Factory Azure Databricks Azure SQL / Synapse Azure Data