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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technology Consultant - Cloud Data & AI Solutions - **Company:** Z's Associates - **Location:** Princeton, NJ, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, ARM Architecture, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Technology Consulting, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, DevOps, Digital Technology, Network Planning and Design, Cloud Services, Migration Manager, Azure Machine Learning, Systems Integration, Google Cloud, Cloud Platform System, Snowflake, Boomi, Infrastructure Automation Frameworks, Enterprise Integration, Data Management, Machine Learning Operations, Cloud Migration, Meditech, Data Pipelines, Mulesoft, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/6ccf3673-db6d-4977-bbb3-7ac5bb859fe4 ## About the Role * 5-8 years of experience in technology consulting, solution architecture, data engineering, cloud implementation, or data platform delivery. * Experience assessing or designing data, analytics, AI, or cloud solutions in complex enterprise environments. * Hands-on experience with at least one major cloud or data platform, such as Databricks, AWS, Azure, Snowflake, or Google Cloud. * Exposure to AI engineering, GenAI platforms (like Azure OpenAI, OpenAI APIs, AWS Bedrock, Anthropic Claude, Google Gemini, Databricks Mosaic AI, or Snowflake Cortex), ML platforms, or AI/ML lifecycle practices. * Experience with CI/CD, DevOps, Infrastructure as Code, observability, or release governance. * Understanding of modern data architecture concepts, including ingestion, transformation, lakehouse or warehouse design, batch or streaming processing, and data governance. * Ability to evaluate technology options and explain tradeoffs around scalability, resilience, cost, performance, and maintainability. * Strong communication skills and ability to work with both business and technical stakeholders. * Experience creating architecture diagrams, implementation roadmaps, assessments, recommendations, or business cases. * Strong problem-solving skills and comfort operating in ambiguous, client-facing environments. * Ability to work across global teams and guide junior team members., * Experience with supply chain or manufacturing functions such as planning, inventory, logistics, quality, procurement, operations, or network design. * Experience with Databricks migrations, lakehouse architecture, or cloud data platform modernization. * Familiarity with enterprise integration tools such as MuleSoft, Boomi, APIs, or event-driven integration patterns. * Understanding of IT/OT integration or experience in regulated industries such as Pharma, Life Sciences, MedTech, or Healthcare. * Experience supporting proposals, RFP responses, effort estimation, or resource planning., Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. ## Description This role is ideal for a consultant or solution engineer who enjoys working at the intersection of business, architecture, and hands-on technology delivery. You do not need to be an expert in every platform, but you should bring strong engineering fundamentals, experience with modern cloud or data platforms, and the ability to learn quickly in complex client environments. What you'll do * Assess clients' current data, AI, and digital technology ecosystems to identify gaps, risks, and modernization opportunities. * Support development of AI engineering, data platform, and cloud modernization strategies. * Translate business priorities across supply chain and manufacturing functions into scalable technical roadmaps and architecture recommendations. * Design future-state architectures for modern data platforms, including lakehouse, warehouse, data pipeline, and analytics environments. * Support cloud and data platform migrations, including migration planning, architecture design, platform evaluation, and implementation roadmaps. * Help clients evaluate technologies such as Databricks, Snowflake, AWS, Azure, and emerging GenAI platforms based on business needs, scalability, cost, and long-term fit. * Partner with business, IT, data, and operations stakeholders to align technical solutions with supply chain and manufacturing objectives. * Lead or support implementation teams delivering data pipelines, platform components, integrations, and AI-enabled solutions. * Bring structure to ambiguous client problems by developing assessments, recommendations, business cases, roadmaps, and executive-ready materials. * Collaborate with global ZS teams to ensure strong delivery, project quality, and client satisfaction. ## Related Videos - [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)