Solution Architect (Data modernization| Cloud Architect |Data & Analytics)

Solution Architect (Data Modernization | Cloud Architect | Data & Analytics) – Mount Laurel, NJ (Onsite). Full‑time position.

Key Responsibilities

• Architect scalable, secure, and high‑performance solutions using Microsoft Azure services, incorporating Gen‑AI and LLM components where appropriate.
• Create detailed architecture blueprints, solution diagrams, and technical documentation for cloud and data solutions.
• Design large‑scale data processing and analytics platforms leveraging Azure Databricks and Apache Spark.
• Lead implementation of Databricks‑based and Azure‑based solutions, ensuring they follow best practices and meet business requirements.
• Lead design and delivery of Gen‑AI LLM solutions including use cases such as summarization, question‑answering, knowledge augmentation, generation, and intelligent automation.
• Design and implement CI/CD and MLOps practices for data pipelines and model lifecycle management using Azure DevOps and Azure ML.
• Provide technical leadership and guidance across the project lifecycle, including prompt engineering best practices, safety and hallucination mitigation strategies, and model governance.
• Ensure robust security, privacy, and compliance measures for Gen‑AI and data solutions, including identity management, encryption, data handling, and access controls.
• Optimize cloud and model‑serving resources for performance, cost, and reliability, including scalable inference, batching, and autoscaling strategies.
• Monitor model performance and data pipelines in production, establishing alerting and metrics for accuracy, bias, latency, and cost.
• Collaborate with stakeholders to gather requirements, translate them into technical solutions, and advocate responsible use of Gen‑AI.
• Stay current with the latest Azure services (Azure OpenAI Service, Cognitive Services), LLM developments, and industry trends to recommend improvements.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 15+ years of experience in data engineering, cloud architecture, or a closely related discipline.
• Deep hands‑on experience with Databricks and Apache Spark.
• Familiarity with Azure OpenAI Service, Azure Cognitive Services, or equivalent managed ML/LLM platforms.
• Strong proficiency in Python.
• Solid SQL skills and experience with relational and analytical databases.
• Proven experience with cloud platforms, with a strong focus on Microsoft Azure.
• Experience with modern data warehousing patterns and technologies (e.g., Delta Lake, Lakehouse architectures).
• Understanding of data governance, privacy, security best practices, and ethical considerations for Gen‑AI.
• Experience implementing MLOps for model versioning, CI/CD for models, automated testing, and monitoring.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Industries

• Software Development

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