Job Details

ID #15351859
State Georgia
City Atlanta
Job type Contract
Salary USD Depends on Experience Depends on Experience
Source Hexaware Technologies, Inc
Showed 2021-06-11
Date 2021-05-23
Deadline 2021-07-22
Category Et cetera
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Senior Enterprise Application Data Architect with AWS

Georgia, Atlanta, 30301 Atlanta USA

Vacancy expired!

  • Partner with business and technology leads to set transformation goals and objectives to launch key initiatives.
  • Develop and/or maintain business vision, strategic plans including the design of transformation roadmap with clear milestones, workstreams, and owners.
  • In partnership with business sponsors and leads, envision, plan, implement, communicate, promote and update the target business architecture over multiple time horizons.
  • Fully articulate current and target state business design using capability models, process models, operating models and motivation models.
  • Design the architecture for migrating on-premise applications, data warehouse and data marts to containers and data lake on AWS Cloud.
  • Deep knowledge of cloud architecture, cloud native patterns, container management and cloud computing capabilities especially as offered by AWS.
  • Deep knowledge of information architecture methodologies; enterprise-wide data architecture for designing and building data lakes, data warehouses, data marts and BI reporting databases.
  • Architect solutions that employs container and serverless patterns using AWS Fargate, AWS Lambda AWS cloud to realize business capabilities in a safe and secure manner.
  • Architect solutions for the design and implementation of Big & Fast Data Infrastructure on AWS cloud using Kafka, Kinesis, Glue, Athena, Redshift, DynamoDB & Quick Sight.
  • Define information models supporting data assets for complex data structures represented through various data management systems such as graph, relational and hierarchical databases.
  • Sound knowledge of distributed data architecture concepts such as sharding, caching, map-reduce, stream processing & two-phase commits.
  • Sound knowledge of data security & compliance.
  • Understand data visualization techniques and libraries and their applicability to business problems.
  • Knowledge of Machine Learning concepts such as KNN, Random Forest, Naïve Bayes, Neural Networks and deploying them on Sagemaker is a plus.
  • Vacancy expired!

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