Research and Development Solution Architect - Data Products Delivery Engine

Main Responsibilities
- Design end-to-end solutions to meet business needs within agreed requirements and align with strategic architecture direction
- Promote right usage of standards for Processes, Applications, and Infrastructure environments
- Leverage the portfolio of digital products and catalogue of services; promote usage of existing building blocks
- Produce design documents and solution roadmaps showing states of transition
- Orchestrate delivery of interconnected technology components through the solution lifecycle
- Collaborate with Business, Technology, and Product stakeholders to contextualize architecture design
- Contribute to life cycle maintenance standards

Qualifications
- Bachelor’s or Master’s degree
- 5–8 years of experience in solution architecture, AI architecture, and software engineering
- Experience developing Lean & Agile practices, policies, and/or procedures
- Drive proof of concept implementations
- Facilitate design and review sessions to define broad solutions

Soft Skills
- Assess new technologies and compile architecture decision records (ADRs)
- Work across multiple teams to drive alignment and results
- Self-motivated; initiative; problem solving and critical thinking

Technical Skills (required/preferred)
- AWS Certification
- GenAI and AI architecture for new products
- Data ingestion, integration, transformation, storage; cloud services (AWS managed)
- Agile, DevOps methodology/principles; GitHub; CI/CD (GitHub Actions)
- Infrastructure as code (Terraform); Linux, containers, Kubernetes, serverless
- JavaScript, Node.js, React, Flutter
- NoSQL and relational databases (AWS RDS); networking concepts
- Integration services (Informatica Cloud, Airflow, DBT, DLT)
- Messaging (EventBridge, SNS, SQS, RabbitMQ, Kafka)
- Data warehousing (Snowflake)
- Compliance/cybersecurity experience (quality, data privacy, GxP, SOX) is a plus

Languages
- English