Job description

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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. This role is pivotal in enabling scalable, secure, and high-performance data analytics environments for EY clients across sectors.

The architect will be responsible for designing future-state reference architectures, guiding implementation teams, and ensuring alignment with EY’s data modernization strategy. The role demands deep technical expertise, hands-on leadership, and the ability to influence stakeholders across business and technology domains.

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. 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.

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.

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.

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.

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.

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.

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

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