Remote- Data Architect

Position: Data Architect

 

Description:

• This consulting position will report to a Data Architect Lead and will be responsible for implementing architecture patterns and designs across systems.
• They will engage in conceptual and logical data modeling, document database architecture, data integration, metadata and enablement of microservices and miniservice in an event driven architecture.
• At the direction of the Data Architect Lead champions organizational policies, procedures, and accepted data standards including data acquisition, access patterns, retention, movement, and security.
• Other duties could include supporting the Data Architect Lead in the buildout of reporting, analytics, and data science practices in the AWS cloud.

 

Key responsibilities include:

• Responsible for alignment and understanding of project requirements for data management.
• Responsible for maintenance and extension of the conceptual and logical data models, including the party data model and the corresponding domain models supporting customer activities.
• Responsible for establishing patterns for the integration of data from multiple source systems for consolidated views such as the customer 360.
• Responsible for establishing data flow patterns in alignment with Command Query Responsibility Segregation (CQRS) supporting events, persistence and distribution.
• Responsible for establishing persistence data stores for reliable system interfaces supporting microservices and miniservice capable of high performant data transfers.
• Responsible for refining datasets based on data rationalization framework to iteratively refine and integrate them based on use cases to facilitate the migration of business processes to the event hub.
• Responsible for refining reproducible integration, performance and growth patterns to support continued development of the data hub.
• Responsible for organizing, structuring and storing data in sustainable method that improves usability, data accuracy and definition.
• Responsible for establishing efficient data retrieval mechanisms and facilitation of self-service with reporting, analytics and data science

 

Qualifications:

• Bachelor’s Degree in Computer Science, Management Information Systems, Business Administration, Mathematics, or equivalent computer-related degree from an accredited college or university required.
• Other qualifications will be provided by the individual management team.

 

Key Responsibilities:

• Infrastructure & Networking
  • Design secure, scalable AWS environments using Multi-Account architectures.
  • Configure advanced AWS networking including VPCs, Transit Gateways, and Route53.
  • Establish secure connectivity via AWS Direct Connect and VPNs.
  • Implement strict Network Access Control Lists (NACLs) and Security Groups.
  • Migration of on-premises systems to AWS cloud services.
  • Perform regular updates and upgrades to AWS resources and services

• Data Platform Engineering
  • Deploy and manage Databricks workspaces across multiple AWS environments.
  • Optimize Databricks clusters for performance, scalability, and cost.
  • Integrate Databricks with AWS data stores like S3, RDS.
  • Implement Unity Catalog for robust data governance and access control.

• Automation & CI/CD
  • Write clean, reusable, and modular infrastructure code using Terraform.
  • Manage infrastructure state files securely in remote backends.
  • Design and maintain CI/CD pipelines using Jenkins for automated testing.
  • Automate the deployment of both AWS resources and Databricks assets.

• Security & Operations
  • Implement IAM roles and policies following the principle of least privilege.
  • Monitor system health and performance using AWS CloudWatch and Prometheus.
  • Set up automated alerts for infrastructure anomalies and cost spikes.
  • Troubleshoot complex networking, deployment, and data pipeline failures.

 

Required Technical Skills

• Cloud Platform: Advanced expertise in Amazon Web Services (AWS).
• Data Tools: Hands-on administration of Databricks (Workspaces, Clusters, Unity Catalog).
• Infrastructure as Code: Expert-level proficiency with Terraform.
• CI/CD: Deep experience building and managing Jenkins pipelines.
• Networking: Strong mastery of TCP/IP, DNS, VPC peering, and routing tables.
• Scripting: Proficiency in Python, Bash