Job
Description
AWS Data Architect- Senior Manager
We are seeking a highly skilled and motivated Data Architect/Senior Manager with 14+ years of experience as a cloud data architect and who is familiar with modern data stack (AWS) to join our dynamic team. As a Data Architect/Senior Manager, you will be responsible for designing, building and operationalizing enterprise level data platforms or warehouses at scale Responsibilities
Strong expertise in AWS tech stack- well versed with all AWS services, cloud concepts, data concepts, building architectural framework in AWS 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 and any data platforms/warehouse like Databricks or Snowflake. Perform detail assessments of current state data platforms and create an appropriate transition/migration/modernization 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 design & development of AWS based reusable frameworks for ingestion/DQ/catalog etc. Knowledge on data modelling, devops methodologies (CI/CD tools) and ability to guide the team to adopt appropriate methodologies that suits the data landscape Experience in building AWS cloud formation templates Experience in building spark-based data processing frameworks and handling optimizations Experience in troubleshooting new and existing ETL packages 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 14+ yrs, with more than 7 yrs in data/warehousing/BI related projects in cloud technologies A minimum of 5+ projects experience with AWS solutions with at least 3+ prior experience in leading large scale data migration/modernization programs 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 is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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