Data Architect

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. 

Data Architect
Data Architect is responsible for designing and implementing data architecture for multiple projects and also build strategies for data governance

Position Summary 

• 12 – 15 yrs of experience in a similar profile with strong service delivery backgroun
• Experience as a Data Architect with a focus on Spark and Data Lake technologies.
• Proficiency in Apache Spark for large-scale data processing.
• Expertise in Databricks, Delta Lake, Azure data factory, and other cloud-based data services.
• Strong understanding of data modeling, ETL processes, and data warehousing principles.
• Implement a data governance framework with Unity Catalog .
• Knowledge in designing scalable streaming data pipeline using Azure Event Hub, Azure Stream analytics, Spark streaming
• Experience with SQL and NoSQL databases, as well as familiarity with big data file formats like Parquet and Avro.
• Hands on Experience in python and relevant libraries such as pyspark, numpy etc
• Knowledge of Machine Learning pipelines, GenAI, LLM will be plus
• Excellent analytical, problem-solving, and technical leadership skills.
• Experience in integration with business intelligence tools such as Power BI
• Effective communication and collaboration abilities
• Excellent interpersonal skills and a collaborative management style
• Own and delegate responsibilities effectively
• Ability to analyse and suggest solutions
• Strong command on verbal and written English language 

Roles and Responsibilities
Essential  

• Work as a Data Architect and able to design and implement data architecture for projects having complex data such as Big Data, Data lakes etc
• Work with the customers to define strategy for data architecture and data governance
• Guide the team to implement solutions around data engineering
• Proactively identify risks and communicate to stakeholders. Develop strategies to mitigate risks
• Build best practices to enable faster service delivery
• Build reusable components to reduce cost
• Build scalable and cost effective architecture 

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
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