• Develop data integration architectures and define architecture standards & guidelines (architecture and design patterns).
• Define deployment topology in collaboration with peers across the technology organization.
• Optimize the use of Platform and technologies.
• Collaborate with Business and delivery partners to understand future requirements and their architectural implications.
• Identify architecture solution alternatives, aligning with business requirements and evaluating new technologies.
• Research and evaluate new technologies and tools to support architecture(s) and develop architectural roadmaps.
• Promote early adoption of tools and architecture across the organization.
• Review solutions and projects to ensure adherence to standard methodologies in data and analytics.

Primary Skills:

• Bachelor’s Degree in a related field (Computer Science, AI/ML).
• 2 to 4 years of IT and business/industry development experience.
• Knowledge of data standards (security, ingestion, warehousing, storage).
• Demonstrated success in design, architecture, and development using AWS Cloud technologies.
• Experience with AWS product categories such as Analytics, Application Integration, Compute, Database, and Serverless.
• Proficiency with Snowflake.
• Experience in AI/ML.
• Ability to collaborate effectively with Agile teams to recommend appropriate architectures following high-quality software methodologies.
• Strong communication skills.

Nice to Have:

• Experience with one or more data integration technologies (Matillion, Pentaho, Datastage, etc.).
• Familiarity with APIs, Apigee, Developer Portals, JSON, RESTful services, and related technologies.
• Expertise in R, Python, and predictive analytics.
• Knowledge of Containers (Docker, Kubernetes, OpenShift), Ansible, Nexus, and Software Defined Networking.
• Familiarity with DevOps/DevSecOps tools such as Chef, Puppet, Jenkins, Packer, Git, and GitHub.