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Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team - Amazon Web Services
Solutions Architect
Senior Solutions Architect guiding large energy and industrial enterprises in modernizing their infrastructure, migrating applications, and building advanced analytics and AI/ML solutions on AWS.
About the role
Key Responsibilities
- Partner with enterprise energy and industrial customers to design and implement end‑to‑end cloud solutions that modernize infrastructure and enable data‑driven transformation.
- Lead migration initiatives for legacy workloads to AWS, ensuring scalability, security, and cost‑optimization.
- Architect advanced analytics and AI/ML pipelines, leveraging services such as SageMaker, Redshift, and Athena to deliver actionable insights.
- Provide technical guidance and best‑practice recommendations on data ingestion, storage, processing, and governance across hybrid environments.
- Conduct workshops, proof‑of‑concepts, and hands‑on labs to demonstrate value and accelerate customer adoption of AWS services.
Requirements
- 10+ years of experience in cloud architecture, data engineering, or AI/ML solution design, preferably with large‑scale enterprise customers.
- Deep expertise in AWS services (e.g., EC2, S3, Lambda, Glue, SageMaker, Redshift) and modern data stack technologies.
- Strong programming skills in Python and proficiency with SQL for data manipulation and analytics.
- Proven ability to translate business objectives into technical solutions and communicate complex concepts to both technical and non‑technical stakeholders.
- Relevant certifications such as AWS Certified Solutions Architect – Professional or AWS Certified Machine Learning – Specialty are a plus.
Skills
awsmachine learningpythonsql