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Role: AWS Cloud Architect Location: Atlanta, GA Duration: Long term
General Requirements: - Create a well-informed cloud strategy and manage the adaption process.
- Regularly evaluate cloud applications, hardware, and software.
- Work closely with IT security to monitor the company's cloud privacy.
- Respond to technical issues in a professional and timely manner.
- Offer guidance in infrastructure movement techniques including bulk application transfers into the cloud
- Positive attitude and a strong commitment to delivering quality work.
- Excellent knowledge of cloud computing technologies and current computing trends.
- Effective communication skills (written and verbal) to properly articulate complicated cloud reports to management and other IT development partners.
Responsibilities: - 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.
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