> Markdown version of [/jobs/ext/2049374-guidewire-data-architect-databricks](https://www.wearedevelopers.com/jobs/ext/2049374-guidewire-data-architect-databricks). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Guidewire Data Architect - Databricks - **Company:** Cyma Systems Inc - **Location:** Edison, NJ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Cloud Services, DataOps, Azure Data Factory, Pyspark, Apache Kafka, Machine Learning Operations, Guidewire, Databricks - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/e51dee9c-b3c7-46fc-989d-5eebeb12237c ## About the Role We are looking for a Guidewire Data Architect - Databricks experience and strong P&C Insurance domain expertise. Key Requirements: Strong experience with Guidewire Data Model and integrating Guidewire data into Databricks using CDA and other mechanisms. 4+ years of experience implementing end-to-end cloud-native data solutions using Azure and Databricks. Strong experience with Databricks, PySpark, Azure Data Factory, and modern data platforms. Experience in data architecture, data modernization, data governance, and migrating on-premises platforms to the cloud. Good understanding of Data Warehousing, BI, Analytics, ETL/ELT, and Kafka. Experience building Databricks CI/CD pipelines using Azure DevOps. Knowledge of Data Mesh, Data Products, DataOps/MLOps is an added advantage. Forward-thinking mindset with the ability to identify AI and advanced analytics opportunities using enterprise data ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)