Ganit - AWS Data Architect

Roles & Responsibilities-

- Strong experience in Architecture, design & development in AWS environments - Planning, designing, and developing complex cloud solutions

- Participate in deep architectural discussions and ensure customer success when building new solutions. Proven ability to work creatively and analytically in a problem-solving environment. Participate in and oversee the design of Cloud solutions, from conceptual, logical, and physical design to meet client's business and technical requirements. Lead Cloud Strategy development defining business drivers, cloud adoption roadmap and business case

- Providing cloud design recommendations based on business goals

- Prescribe the Architecture, tools, frameworks for accelerated cloud adoption

- Assess clients' workloads and technology landscape and define strategy to transform to AWS Extensive hands-on experience implementing data migration and data processing using AWS services.

- Responsible for solution architectures to build and/or migrate EDA tools into public Cloud like AWS

- Moving large databases from on-premises to cloud platforms

- Creating AWS cloud formation templates for subnets, security groups, EC2 instances, and more Experience in modernization capabilities Executing and implementing microservices architecture Delivery using modern methodologies especially SAFe Agile, Iterative, Waterfall, etc.

- Recommending development standards, programming, procedures, and cloud architecture for code reuse

- Develop architecture blueprints and detailed documentation o leveraging architecture patterns and following development processes Assisting in solving support problems Responsible for managing and providing operational support of multiple cloud environments

- Should be hands-on technical lead in AWS with minimum 8 to 10 years' experience in AWS.

Required Experience and Skill

- Should be hands-on technical lead in AWS with minimum 8 to 10 years' experience in AWS.

- AWS Certification preferred Data related migration of data lakes/warehouses to AWS cloud.

- Extensive hands-on work experience in Data Lake, data warehouse.

- Service based tools AWS DMS, AWS Kinesis, AWS EMR, AWS Glue, Cloud formation, terraform.

AWS skills:

- S3, EMR, Glue, lambda, SNS, SQS, Athena, Cloud watch logs, Redshift, Stepfunctions, etc.,

- CloudFormation, LakeFormation, DMS, Kinesis, Kafka

- CDC processing Redshift, Snowflake, RDS, Aurora, Neptune

- Knowledge of CI/CD implementation in AWS

Soft skills: Besides hard skills, the best AWS hire should also have top-notch soft skills, including:

- Researching and maintaining knowledge in emerging technologies

- Teamwork and people skills: AWS cloud architects don't work in a vacuum - they need strong teamwork and people skills to collaborate with other developers and departments in your company. Specifically, they need to know how to listen and communicate with others.

- Decisiveness: An efficient AWS cloud architect should be able to present robust solutions to stakeholders with confidence.

- Analytical skills: Besides conducting analysis of cloud systems, AWS cloud architects need to know how to construct solutions for business objectives. They should also know how to analyse and design scalable and usable solutions for project requirements.