EY - GDS Consulting - AI and DATA - Cloud Data Architect - Databricks - Executive Director

Role overview

EY - GDS Consulting - AI and DATA - Cloud Data Architect - Databricks - Executive Director at EY

The role demands deep technical expertise, hands-on leadership, and the ability to influence stakeholders across business and technology domains.

Required qualifications

• Education & Experience - Bachelor’s degree in Engineering, Computer Science, or related field. - 15-20 years of experience in data architecture, solution design, and implementation. - At least two end-to-end implementations of Databricks and cloud data platforms. - Demonstrated success in leading large-scale data migration projects and managing cross-functional teams. - Experience in client-facing roles with a track record of delivering high-impact solutions.

Employment details

• Location: Bengaluru [KA] [IN] [560016]

About the employer

• At EY, we’re all in to shape your future with confidence.
• This role is pivotal in enabling scalable, secure, and high-performance data analytics environments for EY clients across sectors.
• The leader will be responsible for accelerating the following: Strategic Leadership - Drive the strategic vision for cloud data modernization, leveraging Databricks capabilities within EY - Lead cross-functional teams across geographies to deliver scalable data solutions that support enterprise transformation. - Influence client C-suite stakeholders by articulating the business value of cloud-native data architectures.
• Sales and Business Development - Support pre-sales activities including client workshops, RFP responses, and solution demos. - Partner with account teams to identify opportunities for cloud data transformation and drive pipeline growth. - Translate client requirements into scalable architecture proposals that align with EY’s delivery capabilities.
• Partnership and Ecosystem Development - Build and nurture strategic alliances with Databricks and Azure to codevelop joint solutions. - Engage with technology partners to stay abreast of product roadmaps and integration capabilities. - Leverage EY’s ecosystem to deliver end-to-end solutions that span data, AI, cloud, and security.

Additional role details

• We’ll 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.
• Job Name-GDS Consulting Cloud Data Architect – Databricks Position Summary The Cloud Data Architect will lead the strategic migration and transformation of enterprise data platforms from legacy systems to modern cloud-native architectures using Databricks.
• The architect will be responsible for designing future-state reference architectures, guiding implementation teams, and ensuring alignment with EY’s data modernization strategy.
• Market Intelligence and Go-To-Market (GTM) - Monitor industry trends, competitor offerings, and emerging technologies in cloud data platforms to inform solution strategy. - Collaborate with EY GTM teams to develop differentiated offerings around Databricks. - Contribute to EY’s market positioning by aligning architecture capabilities with client demand and sector-specific needs.
• Thought Leadership - Represent EY in industry forums, webinars, and conferences focused on cloud data and analytics. - Author whitepapers, blogs, and internal knowledge assets on Databricks best practices. - Mentor junior architects and contribute to EY’s internal capability development programs.
• Essential Functions of the job - Lead and architect the migration of data analytics environments from legacy systems to Databricks with a focus on performance, reliability, and scalability. - Define high-level migration roadmaps and future-state reference architectures on Azure cloud. - Design and implement end-to-end data analytics solutions leveraging Databricks utilities and big data modeling techniques using Python. - Setup, configure, and deploy Databricks solutions across multidepartment environments. - Guide teams in implementing best practices for data transformation, aggregation, and workload management. - Address technical inquiries related to customization, integration, and enterprise architecture. - Enable business stakeholders to make data-driven decisions through accurate analysis, reporting, and presentation of key findings.
• Analytical/Decision Making Responsibilities - Make strategic decisions on cloud architecture design, resource allocation, and technology investments. - Evaluate performance metrics and ROI of Databricks implementations. - Conduct impact analysis of proposed solutions on client operations, including cost-benefit, scalability, and integration feasibility. - Prioritize solution components based on business value and technical feasibility.
• Knowledge and Skills Requirements - Proven experience in designing and implementing cloud data warehouse solutions (Databricks) on Azure. - Deep understanding of Databricks architecture including compute/storage separation, RBAC, performance tuning, and advanced features like time travel and zero-copy clone. - Expertise in big data modeling, ETL pipeline optimization, and Python-based data engineering. - Strong consultative skills with the ability to manage client relationships and drive consensus. - Experience in handling complex deployments and multi-tower configurations. - Familiarity with Presto/Starburst, shell scripting, and Unix/Windows environments is a plus.
• 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.