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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Architect - **Company:** Cognizant Technology Solutions Corporation - **Location:** Sarasota, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Identity and Access Management, Python (Programming Language), Meta-Data Management, Performance Tuning, Standard Sql, Data Streaming, Snowflake, Apache Spark, Event Driven Architecture, Data Lakes, Pyspark, Data Management, Machine Learning Operations, Cloud Migration, Terraform, Stream Processing, Databricks - **Published:** September 4, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3377325502&tx=VT6156TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 12+ years of Data Engineering/Data Architecture experience. * 5+ years of hands-on Databricks Architecture experience. * Strong expertise in: * Databricks Lakehouse * Apache Spark / PySpark * Delta Lake * Databricks Workflows * Unity Catalog * Databricks SQL * Python * SQL * AWS Cloud experience (S3, IAM, networking, security, cloud architecture). * Experience designing enterprise data models and data integration patterns. * Strong knowledge of data governance, security, and compliance frameworks. * Experience with large-scale cloud migration and modernization initiatives. * Excellent stakeholder management and communication skills. Preferred Skills * P&C Insurance domain experience. * Databricks Certified Professional/Associate certification. * Experience with AI/ML and MLOps on Databricks. * Experience with Terraform and Infrastructure as Code. * Exposure to Snowflake and modern analytics platforms. * Experience with real-time streaming and event-driven architectures. ## Description We are seeking an experienced Databricks Architect to lead the design and implementation of FCCI's enterprise data modernization initiatives. The ideal candidate will have deep expertise in Databricks Lakehouse architecture, AWS cloud technologies, large-scale data migration, and modern data engineering practices. Experience in the Insurance/P&C domain is highly preferred. This role will drive architecture decisions, establish best practices, and support the modernization of legacy data platforms into a scalable Databricks ecosystem., * Design and implement enterprise-scale Databricks Lakehouse architecture. * Lead data modernization and migration programs from legacy platforms to Databricks. * Architect scalable ELT/ETL pipelines using Databricks, Spark, Delta Lake, and Python. * Define data governance, security, lineage, and metadata management strategies using Unity Catalog. * Design batch and real-time data processing solutions. * Provide architecture guidance for cloud-native solutions on AWS. * Collaborate with business, analytics, and engineering teams to define data strategies. * Establish best practices for data quality, monitoring, performance tuning, and cost optimization. * Create architecture standards, reference architectures, and technical documentation. * Mentor data engineers and technical leads throughout the development lifecycle. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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)