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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** The Dignify Solutions LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Data Architecture, Information Engineering, Data Governance, Graph Database, NoSQL, Azure Machine Learning, Software Engineering, Google Cloud, Microsoft Power Automate, Azure Data Factory, GitHub Copilot, Large Language Models, Multi-Cloud, Generative AI, Machine Learning Operations - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/3c58bd7e-14f6-4bfe-bf30-bc23e724b808 ## About the Role * 8+ years of overall experience in data engineering, data architecture, software engineering, or a closely related field, with 6+ years in an architecture-focused role. * Multi-cloud experience - hands-on design and delivery across at least two major cloud providers (e.g., Azure, AWS, Google Cloud Platform). * Multi-database experience across relational, NoSQL, analytical/warehouse, and vector or graph database technologies. * Multi-AI experience - practical work across a range of AI/ML and generative-AI frameworks, models, and platforms (e.g., LLMs, ML pipelines, RAG, model orchestration). * Strong requirements-gathering and stakeholder-facing skills: proven ability to extract clarity from ambiguity and write actionable specifications. * Excellent written and verbal communication; able to explain complex technical concepts to non-technical audiences and secure buy-in. * Hands-on experience delivering solutions with agentic development tooling / AI-assisted development workflows. * Demonstrated experience taking solutions from concept through approval to production implementation. * Preferred Qualifications * Primary recent experience on the Microsoft Azure stack (e.g., Azure Data services, Synapse/Fabric, Azure OpenAI, Azure ML). * Hands-on development experience with Microsoft Copilot tooling (e.g., GitHub Copilot, Copilot Studio, M365 Copilot). Exceptional candidates without Copilot experience will be considered. * Experience in large, complex, or public-sector / transit / infrastructure organizations. * Relevant cloud or data architecture certifications. * Familiarity with enterprise data governance, MLOps, and responsible-AI practices. * Additional Skills and Information: Preferred Qualifications * Primary recent experience on the Microsoft Azure stack (e.g., Azure Data services, Synapse/Fabric, Azure OpenAI, Azure ML). * Hands-on development experience with Microsoft Copilot tooling (e.g., GitHub Copilot, Copilot Studio, M365 Copilot). Exceptional candidates without Copilot experience will be considered. * Experience in large, complex, or public-sector / transit / infrastructure organizations. * Relevant cloud or data architecture certifications. * Familiarity with enterprise data governance, MLOps, and responsible-AI practices. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [The Open-source Java SDK for Multi-Cloud Development - Sandeep Pal](https://www.wearedevelopers.com/videos/2113-the-open-source-java-sdk-for-multi-cloud-development-sandeep-pal) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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