Description :

Role : AI and AWS Data Architect / Senior Manager

Location : ANY EY Office (Pan India)

Exp - 12 to 20 years

Notice- 0 - 90 days

Job Description :

Role : 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

Roles & 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 governance (using Informatica and Collibra) and ability to guide the team to adopt appropriate methodologies that suits the data landscape

- Experience in building AWS cloud formation templates

- 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 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.