Ey – GDS Consulting - AI and Data, Cloud Data Architect, Databricks, Executive Director
No salary listed
Expert
Bachelor's
Bengaluru, Karnataka, India
In Person
Data & AnalyticsData Engineering
About the job
Requirements
- 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.
- 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Desired Qualifications
- Familiarity with Presto/Starburst, shell scripting, and Unix/Windows environments is a plus.
About the company
EY is a global professional services firm that offers consulting, assurance (audits), tax, and transaction advisory services to a wide range of clients including corporations, SMEs, and government entities. It earns fees for these services and uses its industry expertise and a worldwide network to help clients optimize operations, manage risk, and achieve sustainable growth. EY differentiates itself through its scale and reach, industry specialization, focus on end-to-end services, strategic alliances, and emphasis on innovation and sustainability, including improving audit quality and addressing digital economy needs and supply chain visibility. The company’s goal is to help clients navigate complex regulatory and business environments, transform finance and tax functions, and drive efficiency and resilience across their operations.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
1991
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Simplify's Take
What believers are saying
- EY.ai Agentic for Sales launched March 2, 2026 with Snowflake and Canva.
- EY uses client-zero deployments, scaling Copilot across 400,000 people by May 2026.
- EY’s 2026 AI assurance push monetizes client demand for governance, controls, and risk reviews.
What critics are saying
- Sabah filed RM2.4 billion audit-negligence claims against EY on July 30, 2026.
- EY set aside £188 million in March 2026 after NMC, Shell, and Made.com scrutiny.
- Repeated audit failures can destroy trust, trigger client defections, and shrink the franchise permanently.
What makes Ernst & Young unique
- EY Canvas processes 1.4 trillion journal-entry lines across 160,000 global audits.
- EY-Microsoft invested US$1b+ in May 2026 to industrialize enterprise AI delivery.
- EY launched agentic audit AI on April 7, 2026, spanning Assurance and AI assurance.
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Benefits
- Professional Development Budget
- Flexible Work Hours
- Remote Work Options