Cloud Solution Architect

Overview

Hybrid
65+
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

Cloud Architecture
Amazon Web Services
Databricks
Python
Machine Learning Operations (ML Ops)
ELT
Generative Artificial Intelligence (AI)

Job Details

Position: Cloud Solution Architect (Life Sciences Domain)
Location: Boston preferred or EST Time zone (Hybrid)

Skills: Strong data bricks, AWS, Experience in LS (R&D nice to have), Experience in developing solution using AI/Gen AI.

Job Summary:
We are seeking an experienced Cloud & AI Solution Architect with deep expertise in AWS, Databricks, and AI/GenAI-based solution design. The ideal candidate will play a key role in architecting and implementing scalable cloud and data solutions within the Life Sciences domain (R&D experience preferred). This role involves hands-on architecture, solution design, and technical leadership for cloud-native and AI-driven initiatives.

Key Responsibilities:
•    Design and architect end-to-end data and AI solutions leveraging AWS and Databricks platforms.
•    Define cloud architecture blueprints, data pipelines, and AI/GenAI workflows aligned with business goals.
•    Partner with data scientists, engineers, and business teams to deliver scalable AI-enabled solutions.
•    Architect and implement data lakehouse solutions using Databricks (Spark, Delta Lake, Unity Catalog).
•    Develop and operationalize AI/GenAI models, intelligent agents, and automation frameworks.
•    Ensure solutions follow cloud security, compliance, and governance best practices—especially in Life Sciences data environments.
•    Lead technical discussions, perform architecture reviews, and guide implementation teams.
•    Evaluate emerging technologies and propose strategies to enhance scalability, cost efficiency, and innovation.

Required Skills & Experience:
•    8+ years of IT experience with 3+ years in cloud architecture and data engineering.
•    Strong hands-on experience in AWS Cloud Services — S3, Lambda, Glue, Redshift, SageMaker, API Gateway, ECS/EKS, CloudFormation/CDK.
•    Proven expertise in Databricks (Spark, Delta Lake, Workflows, MLflow).
•    Strong programming experience in Python for data processing and AI model integration.
•    Experience in designing and deploying AI/GenAI-based solutions, agents, or automation workflows.
•    Solid understanding of data lakehouse, ETL/ELT patterns, and MLOps pipelines.
•    Exposure to Life Sciences domain (R&D experience preferred) with understanding of data standards and compliance.
•    Ability to translate business requirements into technical architecture.
•    Excellent communication and presentation skills with experience in stakeholder management.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About StoneGate-Technologies LLC