EY EY - GDS Consulting AI DATA Data Architect Senior Manager 

India, Telangana, Hyderabad 

742181694

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 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.