AWS Data/AI Engineer/ Architect

Define and document the organization's Enterprise Architecture standards, target state architectures, and best practices that guide and influence architecture decisions.

• Works to evolve technologies at the product portfolio level from legacy environments, using an understanding of legacy systems to determine the correct migration path of Enterprise Architectures to the future state
• Oversees POC (proof of concepts) activities and drafts whitepapers to inform key technology decisions and strategy;
• Leads the development of architecture transition plans for moving from current to future state business, data, application, and infrastructure models, within large cross-functional and complex business areas
• Creates architecture roadmaps at the product portfolio level
• Informs and communicates decisions and standards of the Enterprise Architecture practice to the organization, driving understanding and appreciation for the value of architecture governance and standards
• Leads the development of architecture metrics and reporting to evaluate and communicate the achievement and impact of the Enterprise Architecture function; supports Business Continuity and DR Exercises

Top Skills

1. AWS Data Services – Strong experience across core AWS data tools and environments
2. Python Development – Expertise in Python for data engineering and automation
3. Containerized Deployments – Skilled in deploying and managing containerized applications (e.g., Docker, ECS, EKS)
4. Data Orchestration & Transformation – Working knowledge of Apache Airflow and dbt
5. Data Processing Frameworks – Experience with Spark, Polars, and Pandas
6. Open Data & File Formats – Familiar with common open data standards and file types (e.g., Parquet, ORC, Avro, JSON, CSV)
7. Programmatic AI Agents – Intermediate experience developing and integrating AI-driven agents
8. DevOps Practices – DevOps-minded approach with CI/CD and automation familiarity
9. Data Security – Knowledge of role-based security principles including obfuscation, masking, and encryption