AWS Data Solutions Architect

Remote • Posted 13 hours ago • Updated 13 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • AWS
  • DATA
  • DataLake
  • snowflake

Summary

Role: Cloud Solution Architect -Data Services Focused

Location: Remote
Duration: 12 months

 

 

Additional responsibilities include:

 

  • Hands on solution development on AWS cloud and integrating with various internal and external applications. 
  • Collaborate with stakeholders to understand business requirements and convert them into actionable solution components aligned with DBHDS’s Enterprise Solution architecture patterns, procedures, and policies.
  • Design and develop scalable, resilient cloud solution architectures and engineering solutions using cloud-native services and technologies.
  • Develop front-end components and back-end services to create cohesive applications within cloud and hybrid infrastructures using AWS.
  • Create comprehensive solution documentation detailing the design, testing, and production support processes and procedures.
  • Set up and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate updates and feature deployments.
  • Ensure solution completeness through thorough testing and quality assurance processes, ensuring compliance with security policies and best practices.
  • Manage configuration drift and ensure consistency across different environments, using tools like AWS Code Build/Deploy and AWS CloudFormation.
  • Apply DevOps principles to streamline the software development lifecycle (SDLC) and enhance automation.
  • Deploy solutions to various environments, establish monitoring processes, and ensure ongoing operational stability and application resiliency through system stress testing and feature enhancements.
  • Collaborate with cross-functional teams to understand change requirements, provide technical expertise, and ensure solutions align with business needs.
  • Identify opportunities for innovation and process improvement to enhance solution efficiency, scalability, and reliability.

 

Qualifications include:

·       Expertise in Cloud Solutions: Translate business requirements into fully tested solution workflows by designing, implementing, and maintaining technology assets using approved tools for both cloud (e.g., AWS, Azure) and on-premises environments.

·       Proficiency in Cloud Platforms: Strong proficiency in cloud platforms, leveraging native cloud services for solution engineering.

·       API Development: Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments (e.g., AWS API Gateway).

·       Cloud Networking and Security: Understanding of cloud networking concepts (e.g., VPCs, subnets, security groups) and cloud security best practices, including identity and access management (IAM).

·       Containerization and Orchestration: Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).

·       Serverless Computing: Experience with serverless computing concepts, event-driven architecture, and serverless platforms (e.g., AWS Lambda).

·       Infrastructure as Code (IaC): Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation and Terraform.

·       Scripting and Automation: Ability to write scripts and automate tasks using scripting languages (e.g., Python, Node.js).

·       Building Monitoring and Logging Solutions: Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications.

·       DevOps Practices: Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools (e.g., AWS CodePipeline).

·       Compliance: Adhere to all policies and procedures of the Agency.

 

Additional Considerations:

·       Candidates should possess advance level of expertise and showcase experience in cloud architecture and software engineering skills (ex: API Development, Algorithm design), Scripting (preferably python/NodeJS), Serverless computing, Containerization and Orchestration, DevOps for pipelines. Experience building products in a modern cloud ecosystem is crucial.

·       The role demands refined communication and training skills, and the ability to collaborate effectively across diverse teams. Building rapport and relationships with peers and end-users is vital, as is the ability to interface amicably with business partners showcasing an understanding of the business process that agency supports is crucial.

·       Analytical mindset and problem-solving skills to troubleshoot issues, optimize processes, and implement automation solutions will enable the role to create an immediate impact.

·       AWS Certified Solution Architect Professional and at least one AWS Specialty certification are preferred qualifications for executing tasks on this role

 

 

Skill

Required / Desired Amountof Experience

Candidate years of Experience

Hands on solution development on AWS cloud using Data Engineering Services and integrating with various internal and external applications.

12 Years Required

 

Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments (e.g., AWS API Gateway).

12 Years Required

 

Experience with Power BI, Snowflake and AWS data Lake integrations or similar

12 Years Required

 

Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation

12 Years Required

 

Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools

12 Years Required

 

Data Ingestion and Transformation using Amazon S3, AWS Glue, Amazon EMR, AWS DMS, Amazon Redshift, AWS Lambda, Amazon AppFlow

10 Years Required

 

Setting up schedulers by using Amazon EventBridge, Apache Airflow, or time-based schedules for jobs and crawlers DynamoDB, Kenesis, RDS etc.

10 Years Required

 

Implementing data transformation services based on requirements using AWS Glue, Lambda etc.

10 Years Required

 

Using orchestration services to build workflows for data ETL pipelines (for example, Lambda, EventBridge, Amazon Managed Workflows for ApacheAirflow )

10 Years Required

 

AWS Cloud Solution Architect and Data Engineer Certifications

Highly desired

 

AWS Data Zone Experience

Highly desired

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90929724
  • Position Id: 9001788
  • Posted 13 hours ago
Contact the job poster
Eshwar Chappali

Eshwar Chappali

Recruiter @ isolve technology inc
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