EY - GDS Consulting - AI and DATA - Data Architect - Senior Manager

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. 

AWS Architect

Responsibilities

• Strong expertise in AWS tech stack- well versed with all AWS services, cloud concepts, data concepts, architecting and design thinking
• Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake.
• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.
• Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.
• Design and build production data pipelines from ingestion to consumption within a big data architecture, using Spark / Beam / Flink etc.
• Lead development of AWS based reusable frameworks for ingestion/DQ/catalog etc.
• Domain experience and knowledge on financial services and products (especially on asset wealth management or banking experience (NOT insurance))
• SM/AD level who can initiate technical and strategic conversations with the CDO, CTO from the client side

Skills

• Overall experience of 17+ yrs, with more than 7 yrs in data/warehousing/BI related projects
• A minimum of 2 projects experience with AWS solutions with at least 1 prior experience in migrating on-prem to AWS
• Has experience in any of the following AWS services
  • Proficiencies in more than 3 analytical services – Glue, EMR, Athena, Redshift, Kinesis, Lambda, DynamoDB, Sagemaker
  • Strong experience in the foundational services – S3/Glacier, Cloud trail/watch
  • Exposure to third party services like – Snowflake, Databricks, Kafka etc.
• Sound knowledge of distributed systems, data architecture and AWS well architected principles
• Expertise in building real time and batch data pipelines that handle big data, low latencies and resource optimized
• Ability to integrate data governance into solutions through - data lineage, ensuring data quality, and improving discoverability of data.
• Ability performance tune data pipeline (Glue/EMR) and Redshift, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
• Sound understanding of DevOps on AWS with prior experience using AWS or open source stacks
• Knowledge of Engineering and Operational Excellence using standard methodologies.

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.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.